Search for:
Embracing Generative AI, Automation, and Dynamic AI Agents


Technological revolutions rarely happen all at once. The commercial internet launched in 1989, but it would take almost a decade before most businesses depended on it to function. This wasn’t because the technology wasn’t there yet; rather, it was because people are generally resistant to change. They fear the unknown, even when the unknown stands […]

The post Embracing Generative AI, Automation, and Dynamic AI Agents appeared first on DATAVERSITY.


Read More
Author: Raghu Ravinutala

10 Highest-Paying Data Analytics Jobs in 2023


As one of the fastest-growing fields, technology continues to drive transformative changes across various industries, with new advancements emerging each year. Consequently, the demand for data analytics jobs is expected to surge in the near future, with a significant need for data science practitioners worldwide. The U.S. Bureau of Labor Statistics (2021) projects a 22% growth […]

The post 10 Highest-Paying Data Analytics Jobs in 2023 appeared first on DATAVERSITY.


Read More
Author: Rohail Abrahani

5 Strategies for Data Migration in Healthcare

All data-driven businesses need to migrate their data at some point, whether it’s to the cloud, a sophisticated data management system like a data warehouse, or applications. In some instances, the data migration process can entail changing the data’s format or type to make it more usable, increase performance, make it easier to store, or for other reasons.

In healthcare, data migration is the essential process of transferring data, including patient data, between systems in a secure way that meets compliance requirements, such as those set by the Health Insurance Portability and Accountability Act (HIPAA). Data migration can include moving information from a data platform or legacy system to a modern electronic health records (EHR) system that makes a patient’s medical information readily available to healthcare providers in any location.

Healthcare data is often complex, has extensive data sets, and must be secure to protect patient privacy. Here are five ways healthcare organizations can successfully migrate data:

1. Have a detailed data migration plan

This critical first step will guide and inform the entire migration. The plan should identify where healthcare data currently resides, where it needs to go, and how it’s going to get there. You’ll need to determine if this will be a full migration, which entails moving all data to a new system, like migrating on-premises data to the cloud or modernizing by moving data from a legacy patient records system to a new platform or EHR system.

Or, the migration can be done in phases over time, with the option for some data to stay in its current location or in a hybrid environment with some data in the cloud and some on-premises. The migration plan must include steps, timeframes, and responsibilities, along with identifying the tools and expertise needed to move the data. Migration tools can automate some processes for increased efficiency and to reduce the chance for manual errors.

2. Assess the data you’ll be migrating

You’ll need to identify all the sources containing the data that needs to be migrated. This includes databases, files, and applications that have healthcare data. You should consider converting paper medical records to EHRs, which allows the data to be integrated for a complete patient record that’s available whenever and wherever a healthcare provider needs it. Once you know which information will be migrated and where it’s stored, the next step is to assess the data. This step determines if the data needs to be standardized or transformed to meet the new system’s requirements.

3. Understand and follow compliance requirements

Healthcare is heavily regulated, which impacts data usage. You must ensure security and compliance when migrating healthcare data. This includes compliance with HIPAA and any other applicable local or state requirements. You may need to use data encryption processes and secure channels when transferring the data to ensure sensitive patient data, such as protected health information (PHI), is secure.

As part of your data migration plan, you’ll need to consider how data is protected when it’s stored, including in cloud storage. The plan may require boosting security measures to mitigate cybersecurity threats. Conducting a risk assessment can help identify any vulnerabilities or potential risks so you can resolve them before moving your data.

4. Ensure data is in the correct format

Data must be in the proper format for the destination location. Some healthcare systems require data to be in a particular format or structure, which could require converting the data—without losing any of the details. Ensuring data is formatted correctly entails mapping the data, which helps you determine how information in the current system corresponds to requirements for the new system. Data mapping helps make sure different systems, apps, and databases can seamlessly share data by showing the relationships of data elements in the different systems. Mapping also helps ensure data is properly transformed before the migration, allowing it to be easily ingested and integrated with other data.

5. Check for data quality issues

Any data quality problems, such as incomplete or missing information, will be migrated along with the data. That’s why it’s important to fix any problems now—correct errors, eliminate duplicate records, and make sure your data is accurate, timely, and complete before moving it. Data cleansing can give you confidence in your healthcare data. Likewise, implementing a data quality management program is one way to keep data clean and accurate. After the migration, data should be checked to ensure details were not lost or inadvertently changed in transit and to verify the data quality. Testing the data post-migration is essential to ensure it meets your usability requirements and the new system is performing properly.

Healthcare Data Requires a Comprehensive Migration Strategy

Actian can help healthcare providers and other organizations create and implement a detailed data management strategy to meet their particular needs. We can also make sure your data is secure, yet easy to use and readily available to those who need it. We’ll help you migrate data for cloud storage, data protection, healthcare data analytics, or other business goals. With the Actian Data Platform, you can easily build data pipelines to current and new data sources, and easily connect, manage, and analyze data to drive insights and prevent data silos.

Related resources you may find useful:

The post 5 Strategies for Data Migration in Healthcare appeared first on Actian.


Read More
Author: Saquondria Burris

Enterprise Storage: Plugging a Hole in Corporate Cybersecurity Strategies


Chief information security officers (CISOs), along with their staff, typically do not think about enterprise storage. The vast majority say that they think about edge protection, network protection, application protection, and the threat of data theft. They are rightfully interested in trusted execution technology, considering zero-trust architectures for infrastructure assurance and assessments for root of […]

The post Enterprise Storage: Plugging a Hole in Corporate Cybersecurity Strategies appeared first on DATAVERSITY.


Read More
Author: Eric Herzog

Using Hyperautomation and Process Orchestration to Drive Optimal Efficiency


Organizations are increasingly turning to automation to achieve their most critical business goals. According to the 2023 State of Process Orchestration Report, 95% of teams credit automation for improving operational efficiency, while 94% acknowledge its role in enhancing customer experiences. To automate at scale, many teams implement a mix of technologies, tools, and platforms. One approach […]

The post Using Hyperautomation and Process Orchestration to Drive Optimal Efficiency appeared first on DATAVERSITY.


Read More
Author: Jakob Freund

How Reducing Bias in AI Models Boosts Success


Artificial intelligence (AI) has the potential to revolutionize industries and improve decision-making processes, but it is not without challenges. One challenge is how to address the issue of bias in AI models to ensure fairness, equity, and satisfying outcomes. AI bias can arise from various sources, including training data, algorithm design, and human influence during […]

The post How Reducing Bias in AI Models Boosts Success appeared first on DATAVERSITY.


Read More
Author: Mohan Krishna Mangamuri

Hype Cycle


Have you heard of this thing?

More formally, it is referred to as “The Gartner Hype Cycle”, a graphical representation and methodology developed by the research and advisory firm Gartner and first introduced by Jackie Fenn, a VP at Gartner in the 1995 research report titled “The Hype Cycle”.

The objective is to depict the lifecycle stages that emerging technologies typically go through as they evolve from initial conception to mainstream adoption.

The cycle attempts to provides insights into how technologies are perceived and how they progress in terms of visibility, expectations, and maturity. The Hype Cycle was ultimately developed as a response to the observations of Gartner, that many new technologies were subject to exaggerated expectations followed by disappointment when those technologies failed to deliver immediate revolutionary changes.

Gartner recognized the need for a more structured way to manage these expectations and provide more realistic guidance for the adoption of emerging technologies. In the 25+ years that have passed since its introduction, it has become well-known and widely used as a framework in the technology industry to analyse and discuss the trajectories of new technologies, their adoption patterns, and the challenges they face.

TL;DR The Cycle is an adaptation of a view on technology life cycles and ultimately tries to deal with perceived discontinuities in adoption.

“One of the more interesting features of Gartner’s Hype Cycle is that it takes into account the unbridled and almost euphoric optimism that accompanies the introduction of some technologies and, of course, the inevitable precipitous decline of the next-best thing.” 1

Usage

The Hype Cycle has its critics, but has helped technology leaders, investors, and decision-makers make informed decisions about when and how to engage with emerging technologies based on a more balanced understanding of their potential benefits and risks.

Business leaders could use the Gartner Hype Cycle as a strategic tool to guide decisions about adopting and investing in specific emerging technologies in the absence of their own proofs.

For example, the Cycle provides an overview of various technologies and their maturity levels as part of Landscape Assessment such that it can be used to identify technologies that are relevant to specific industry and business objectives. This helps one stay informed about the latest trends and innovations.

The Hype Cycle can help leaders anticipate the potential impact of emerging technologies on their business in their Strategic Planning; for future technology adoption and integration by considering the expected trajectory of each technology along the cycle.

By understanding where a technology stands on the Hype Cycle, leaders can better assess the associated risks in Adoption Risk Assessments, thereby avoiding being caught up in the “Peak of Inflated Expectations” and instead make decisions based on a balanced view of the technology’s potential benefits and challenges.

When leaders engage in Resource Allocation, they can do this more effectively by considering which technologies are approaching the “Slope of Enlightenment” and “Plateau of Productivity.” These phases indicate that the technology is becoming more practical and can yield tangible results, making it a better candidate for investment.

The Hype Cycle helps leaders create an innovation strategy that aligns with an organization’s goals guiding them in deciding whether to be early adopters or wait until a technology matures further before investing resources.

Being aware of where competitors are in terms of technology adoption can provide insights into potential competitive advantage if a business successfully navigates the Hype Cycle it can gain an edge by embracing transformative technologies at the right time.

When considering technology solutions or partnerships, business leaders can refer to the Hype Cycle to understand the vendor landscape. Businesses can make informed decisions about which vendors align with their technology adoption timeline and objectives.

The Hype Cycle can help leaders educate executive leadership teams, investors, and other stakeholders about the expected progression of technologies and promotes a more realistic understanding of the potential outcomes and timelines.

The Hype Cycle encourages leaders to think long-term trends and consider these relative to short-term implications of technology adoption. This perspective is crucial for creating sustainable strategies.

Extra considerations

By recognizing that technologies go through different phases, leaders can adjust their expectations accordingly. This minimizes disappointment when a technology doesn’t deliver immediate transformative results.

The Hype Cycle was specifically designed to track the adoption of technologies, as mentioned. It might not capture the nuances of non-technological innovations or concepts that don’t fit the typical technology lifecycle. Different types of innovations may follow different adoption trajectories; for example, consumer products might have their own adoption patterns that are influenced by factors like fashion trends and lifestyle choices.

Some innovations might be deeply rooted in cultural or societal changes that don’t fit the linear progression of the Hype Cycle. The cycle might not adequately account for cultural shifts and their impact on adoption. Innovations in fields with strong regulatory frameworks (such as healthcare or finance) might also be influenced by legal and compliance factors in ways that the Hype Cycle might not fully capture.

Innovations that cater to niche markets or localized needs might not exhibit the same wide-ranging adoption patterns that technology trends often do, and ideas that are incremental improvements or evolutionary changes to existing solutions might not experience the same hype-disillusionment cycle as radical and transformative innovations. The Hype Cycle involves subjective perceptions and market trends, which might not be as relevant for innovations driven by other factors, such as scientific discoveries.

Industry specific implications

The Hype Cycle has been used to analyse the adoption of new medical technologies, healthcare IT solutions, and digital health innovations and as such it helps healthcare organizations understand the stages of acceptance and integration for technologies like telemedicine, electronic health records, and medical wearables.

In educational technology (EdTech) it has helped educators and educational institutions assess the potential impact and adoption of new teaching tools, e-learning platforms, and educational software. The financial services sector has used the Hype Cycle to evaluate the adoption of financial technologies (fintech) such as blockchain, robo-advisors, and mobile payment solutions.

In automotive the Hype Cycle is often applied to emerging technologies like autonomous vehicles, electric vehicles, and connected car systems. Similar analysis has appeared in the adoption of renewable energy technologies, smart grid solutions, and sustainable practices within the energy sector. The Hype Cycle has been applied to emerging trends in environmental conservation and sustainability, such as circular economy practices, green technologies, and eco-friendly product innovations.

Retailers use the Hype Cycle to understand the adoption of technologies like augmented reality (AR) for shopping experiences, Internet of Things (IoT) devices for inventory management, and contactless payment methods. Media and entertainment in trends around virtual reality (VR) and augmented reality (AR) applications, streaming platforms, and content delivery technologies.

Applicability is also found in aggrotech, travel, tourism, real estate and even the adoption of technologies by government and the public sector.

The hype cycle is an adaptable framework that has proven valuable in understanding the adoption and maturation patterns of innovations across a wide range of industries but the applicability may need to be tailored to suit the specific characteristics of each industry.

Extra Reading


Read More
Author: Flaminio

Protecting Intellectual Property in the Age of LLM Generative AI Tools


The emergence of large language models (LLMs) has ushered in a new era of generative AI tools with unprecedented capabilities. These powerful models, such as ChatGPT and others, possess the ability to make contextual connections in ways that were previously unimaginable.  While LLMs offer immense potential, there is a pressing need to address the potential […]

The post Protecting Intellectual Property in the Age of LLM Generative AI Tools appeared first on DATAVERSITY.


Read More
Author: Balaji Ganesan

The Struggles of Cloud and Data: Simplifying with a Single, Unified Solution


In today’s world, a single-environment approach to IT is no longer supporting the needs of modern businesses. According to my company’s fifth annual Enterprise Cloud Index (ECI), organizations today, and moving forward, are apt to use more than one infrastructure – a trend that only intensified during the pandemic due to supply chain issues. This unique combination […]

The post The Struggles of Cloud and Data: Simplifying with a Single, Unified Solution appeared first on DATAVERSITY.


Read More
Author: Induprakas Keri

No Storage, No Future Tech: Why Cutting-Edge Innovations Rely on Tried-and-True Data Storage


Imagine if you asked a large language model to write a fantasy story about a girl who wanders into a magical forest and meets a pirate with the same name as your brother, a fairy allergic to pixie dust, and a cat who speaks in iambic pentameter. Then, pair that with an AI image generator […]

The post No Storage, No Future Tech: Why Cutting-Edge Innovations Rely on Tried-and-True Data Storage appeared first on DATAVERSITY.


Read More
Author: Carol Whitmarsh

Why Predictive Data Analytics Will Drive the Supply Chain of the Future

It’s hard to imagine a crucial aspect of business that’s been more disrupted, unpredictable, and volatile over the last few years than supply chains. As a result of worker shortages, geopolitical issues, manufacturing shutdowns, unstable fuel prices, and myriad other factors, supply chains across almost all industries were unable to make on-time deliveries and meet customer demand.

These problems—and the impact on consumers who were forced to wait weeks, months or longer for products—have caused organizations to rethink their supply chains.  We’ve detailed how to navigate managing the complexity and volume of your supply chain in this downloadable eBook Your Supply Chain Future is Now with Predictive Analytics. Companies have realized that legacy technologies and basic forecasting methods are not sufficient to predict and meet demand, especially as many consumers now expect next day or even same day delivery.

The ability to accurately predict demand and ensure the right products are available at the right time in the right place and with a favorable price point is increasingly difficult. Even seasonal demand that used to be fairly easy to predict based on previous buying habits is breaking long-standing patterns and becoming more unpredictable. Everything has changed, and organizations that aren’t modernizing and using supply chain analytics will be at a significant disadvantage.

Supply Chains of the Future Demand Predictive Analytics

To say that supply chains of the future will require new data analytics capabilities, including predictive analytics and supply chain analytics, is certainly true. But today’s supply chains need them too. Predictive analytics and other innovative technologies enable supply chains to be automated, respond faster, become more resilient, and be more sustainable.

The need to modernize supply chain processes by integrating data for predictive analytics will define one of the priorities for Chief Supply Chain Officers (CSCOs). This role will also be tasked with implementing the right data platform to manage ever-growing data volumes, build new data pipelines easily, and deliver analytic insights at scale.

As supply chains stretch around the world, having visibility into processes and suppliers, along with managing risk, is critical, but difficult. A scalable data platform is needed that can integrate, manage, and analyze data—and perform predictive analytics—at the speed modern businesses require, while also offering strong price performance.

A Look into the Future of Supply Chains

Modern supply chains must be efficient, agile, and connected. They must also have advanced forecasting capabilities to deliver granular insights into supply and demand, ensuring there’s enough product on the shelves to meet consumer needs, but not too much or it results in costly inventory, storage, or waste.

Organizations that don’t have a strategy for supply chain modernization will likely experience higher costs, spend more time on manually intensive processes, face ongoing inefficiencies, and fall behind their forward-looking peers.

The supply chain of the future will be more automated, with the use of technologies such as the Internet of Things (IoT), predictive analytics, blockchain, robotics, and even drones. These technologies will enable real-time tracking and monitoring of supply chain processes such as procurement, manufacturing, and distribution of goods. This eBook can help businesses like yours:

  • Implement predictive analytics and deliver trustworthy insights
  • Understand and build the supply chain of the future
  • Improve supply chain sustainability
  • Evolve the role of the CSCO to meet current and future needs
  • Manage diversification in your supply chain
  • Create a roadmap for ongoing success
  • Make data analytics easy to use with the right cloud data platform

Get Easy-to-Use Supply Chain Analytics You Can Trust

Supply chain success starts with the right platform. Customers trust Actian for data and analytics, including predictive analytics, for visibility, insights, and data-driven automation to better manage and optimize their supply chains. The Actian Data Platform is easy to manage, enabling you to transform your supply chain and your business by simplifying how you connect and analyze data. Forrester recently recognized Actian as  one of the top 15 cloud data warehouse providers. See why and find out how Actian can help modernize your supply chain.

Get the eBook to learn more about how the Actian platform can make managing your supply chain easier.

Related resources you may find useful:

·      The Power of Real-time Supply Chain Analytics

·      The Top Data and Analytics Capabilities Every Modern Business Should Have

·      How Your Peers Are Experiencing Their Journeys to the Cloud

The post Why Predictive Data Analytics Will Drive the Supply Chain of the Future appeared first on Actian.


Read More
Author: Steve Lennon

Smart Data Visualization Tells a Story Your Users Will Love


The Wharton School of Management reports that only half of an audience is convinced by a purely verbal presentation, but that number jumps to over two-thirds when visuals are added. Why is that? The answer is simple. Our brains grasp and respond to images, colors, and patterns and more quickly assimilate information. Presenting data with colors […]

The post Smart Data Visualization Tells a Story Your Users Will Love appeared first on DATAVERSITY.


Read More
Author: Kartik Patel

The Need for Holistic Market Data in Today’s Information-Driven Landscape


In the age of abundant information, companies face the challenge of extracting actionable insights from an overwhelming volume of data. Merely having access to “good data” is no longer sufficient; businesses require accurate, reliable, and unbiased information about customer opinions, behaviors, and motivations.  Making informed business decisions necessitates holistic data that encompasses the entire market, […]

The post The Need for Holistic Market Data in Today’s Information-Driven Landscape appeared first on DATAVERSITY.


Read More
Author: Chad Pinkston

How to Build Accurate Customer Profiles Using Data Analytics

A comprehensive data analytics strategy gives financial firms a competitive edge, helping them inform decision making, drive overall financial performance, and improve business outcomes. The fact is, all types of financial firms, from banks to investment companies, are finding new uses for analytics while optimizing proven use cases.

You’re probably leveraging analytics for some use cases, but there’s more you can do. Embedding analytics processes across your organization can deliver more value—and deliver value faster. Here are 10 ways to benefit from data analytics at your financial organization:

1. Deliver personalized financial services

Tailored offerings are mandatory for success in financial services. Connecting customer and financial data for analytics gives you a better understanding of each customer’s financial goals, risk profile, and financial status. You can then deliver personalized offerings to meet customers’ unique needs. Offerings can include cash back on credit cards, or personal or business loans at a favorable interest rate. Meeting each individual’s financial needs improves customer experiences while enabling cross-selling opportunities that improve revenues.

2. Gain real-time insights

Real-time insights position your firm to seize opportunities or enable you to take action if you spot a potential problem. For example, you can deliver special terms on a loan or make a limited time debit card offer while someone is browsing your site, or take immediate action if you suspect fraud on an account. For example, credit card companies use real-time analytics to approve transactions exceptionally fast and also analyze purchases for fraud. Likewise, in stock trading, every millisecond can make a difference when buying or selling at market prices, making real-time insights invaluable.

3. Improve operational efficiency

Analytics let you automate processes to improve operations. Manual and repetitive tasks can be automated to minimize human intervention and errors while speeding up processes. For instance, onboarding customers, approving loans, and processing transactions are common tasks ripe for automation. Data analytics can also play a key role in digital transformations, enabling digital processes and workflows that make operations more efficient. For example, Academy Bank transformed operations in a hybrid environment, saving more than four hours of manual data entry per day and developing new online services to improve the customer experience.

4. Manage risk across the enterprise

The financial industry is constantly exposed to risk—market risk, credit risk, operational risk, and more. Data analytics offers early insights into risk, giving you time to proactively mitigate issues before they become full-blown problems. Applying analytics lets you better understand and manage risk to protect your organization against potential losses while supporting financial stability. For example, analyzing customer data, historical data, credit scores, and other information predicts the likelihood of a person defaulting on a loan.

5. Inform financial investment decisions

In an industry as complex as financial services, you need the ability to analyze vast amounts of data quickly to understand trends, market changes, and performance goals to guide investment strategies. Sophisticated data models and analytic techniques offer granular insights and answers to what/if scenarios to inform investments. In addition, financial analytics can help you strategically build a diversified investment portfolio based on your risk tolerance and objectives.

6. Ensure accurate regulatory reporting

In your heavily regulated industry, timely, trustworthy reporting is critical. Compliance with myriad rules that are constantly changing requires analytics for visibility into adherence and to create accurate compliance and regulatory reports. Data analytics also helps monitor compliance to identify potential issues, helping you avoid penalties by ensuring operations follow legal protocols. Plus, analytics processes offer an audit trail in reporting, giving your stakeholders and auditors visibility into how the reports were created.

7. Enhance fraud detection and prevention capabilities

Fraud is ever-present in the financial sector—and fraudulent tactics are becoming increasingly sophisticated and harder to detect. Your business must be able to identify fraud before financial losses occur. Analytics, including advanced fraud detection models that use machine learning capabilities, help identify patterns and anomalies that could indicate fraud. Analytics must also prevent false positives. For example, analysis must be able to distinguish between a customer’s legitimate purchases and fraud to avoid suspending a valid customer’s account.

8. Create accurate financial forecasts

Forecasts directly impact profitability, so they must be trustworthy. Data analytics can deliver accurate forecasts to help with budgeting and investments. The forecasts predict revenue, expenses, and organization-wide financial performance. Having a detailed understanding of finances enables you to make informed decisions that increase profitability. Data-driven predictions also inform scenario analysis, which lets you evaluate potential business outcomes and risks based on assumptions you make about the future.

9. Determine customers’ credit scores

Credit scoring is essential in finance, allowing banks and other lenders to evaluate a customer’s creditworthiness based on their credit history, income, and other factors. Analytics can determine if the person is a good credit risk, meaning the customer will repay the loan on time and manage their credit responsibly. Analytics can be used for any sort of financing, from offering a loan to raising credit card limits.

10. Understand customer sentiment

Like other industries, financial services firms want to understand the perception customers and the public have about their business. That’s where sentiment analysis helps. It interprets the emotions, attitudes, and opinions behind social media posts, reviews, survey responses, and other customer feedback. This lets you better understand customer feelings about your brand and services. You can determine if your customer and business strategies are working, and make improvements accordingly. Customer sentiment also serves as an economic indicator, giving you insights into how optimistic customers are about their personal finances and the overall economy.

Unify Data for Financial Services Use Cases

Data analytics has become an essential part of decision making, automated processes, and forecasting for financial services. The insights help firms like yours stay competitive and proactively adjust to changing market conditions and customer needs. New analytics use cases are constantly emerging. One way to capitalize on these use cases is to have all data unified on a single, easy-to-use cloud data platform that makes data readily available for analysts and anyone else who needs it. The Actian Data Platform does this and more. It connects all your data so you can drive financial services use cases with confidence and enable enterprise data management for financial services.

Related resources you may find useful:

The post How to Build Accurate Customer Profiles Using Data Analytics appeared first on Actian.


Read More
Author: Saquondria Burris

Mastering Remote Work Success


Shifting to remote work has had a significant impact on B2B audiences and attendance of webinars. Work-from-home accelerated by the pandemic brought several changes in how people engage with media and webinars and other online events in particular.

Imagine you’re a software company hosting a webinar for B2B clients. Instead of a generic topic, you decide to address a specific pain point your clients face – data security.

Your webinar perhaps offers insights into the latest data breach trends, real-life case studies of companies that suffered breaches, and actionable steps to strengthen data protection. Attendees leave with a comprehensive understanding of potential vulnerabilities and practical solutions they can implement.

Sounds pretty compelling doesn’t it?

If you’re a software company and you’re not running regular webinars, you’re missing a trick.

For marketing agencies hosting webinars on content strategy the standard title of “Effective Content Strategy Tips” is likely more compelling when rephrased as “Unlocking the Power of Content for greater ROI”; this re-hook captures attention and conveys the value attendees can ultimately expect. So while content hasn’t changed necessarily, the way it is positioned may change your signup rates.

Would you attend a medical technology webinar on telehealth where there is no expert on the agenda? Probably not, having an SME (Subject Matter Expert) on the agenda could make all the difference in terms of credibility. Medtech companies usually target presenting professionals of repute, who have been at the forefront of their field, like virtual healthcare. The SME’s reputation will likely draw in a better-sized audience interested in hearing insights from a recognized expert.

Management consulting firms that conduct webinars on leadership development ask attendees to share their top leadership challenges through live polls. This interactivity with the audience in real-time, makes participants feel their concerns are being addressed directly and keeps the audience engaged. Polls are always a great frame-up for speakers too!

If you run an e-commerce platform then prospects and existing customers want to hear stories from the trenches – they want to hear other customers’ experiences. Combining slides, video content, and successful customer interaction scenarios combined with a live chat with customer support teams could create a multi-faceted experience that keeps attendees engaged.

Trying to engage a global B2B audience is tough with time zones. Instead of hosting a single webinar consider multiple sessions at different times to cater to different time zones. Hold a session during European business hours and another during Asian business hours, to increase your international reach.

You’d think the day of the week doesn’t matter; selecting a Wednesday for a webinar on say streamlining logistics processes is an astute move when considered in the context of knowing that midweek is generally when businesses are in a “working mode” and are more likely to allocate time for professional development.

A one-hour webinar is tidy, but your speakers will fill all the time you allocate. A two-hour webinar is a bit long and will likely see audiences drop off after sixty minutes anyway. Settle on a 45-minute session where you cover key strategies, present a real-life success story, and host a brief Q&A, ensuring participants’ attention is maintained throughout the event.

The webinar invitation is underestimated in terms of its impact. Invitations highlight the message you want to convey and depending on where you received your mailing list from, could be just what existing customers are looking for, or might spur prospects into action, point out that you plan to showcase your company’s understanding of customer and prospect-specific needs.

Something you can leverage as part of the early signup is an incentive. Mention this on the landing page, in the invitation, and in the various calls to action that you might send to customers and prospects. Tempt them with details of a white paper, a discount, a private consultation, or a tchotchke for early signup.

Running a webinar solo, even with an expert in tow, may not tell the whol story you want to tell. Consider finding a partner to join the webinar with you. This could be a reseller, an integrator, a promoter, or an organization with adjacent and vested interest. This will diversify the content and you likely harvest sign-ups from their stable of contacts too!

Observers love social proof, this can come in the form of customer or beneficiary testimonials that showcase the positive impact of past webinars, your product, or services. The value derived from webinars should be spoken about to encourage signups and build audience trust and demonstrate the value participants could gain.

After a webinar o always send attendees a follow-up email. The email should include a link to the webinar recording, a summary of key takeaways, and perhaps even something exclusive.

Provided you recorded that webinar, it could have a half-life beyond your wildest expectations. Once you’ve held the live session, post and promote the past event online in order to harvest more viewers and contacts.

Each of these strategies, when thoughtfully executed, contributes to a successful B2B webinar campaign that holds the potential for attracting a willing and engaged audience.

By focusing on delivering genuine value and respecting the audience’s time and needs, your company can build strong connections and foster lasting relationships.


Read More
Author: Flaminio

Real-Time Data: Enhancing Customer Experience for Your Business


In today’s fast-paced world, customers demand immediate gratification and personalized experiences.

To meet these expectations, businesses must understand their customers’ needs and preferences to create memorable experiences that drive customer loyalty. In this article, we explore various ways that businesses can utilize real-time data to improve their customer experience.

Keeping Customer Data in the Cloud

Storing customer information in the cloud is a convenient and efficient way for businesses to access real-time data. By tracking customer activity, purchase history, and preferences, businesses can gain valuable insights into their customers’ behavior and needs. This information can help businesses personalize marketing campaigns, tailor promotions, and ultimately enhance their overall customer experience.

Inventory Management

In addition to improving customer satisfaction, real-time data can also assist businesses with inventory management. By tracking stock levels and sales patterns, businesses can optimize their inventory and ensure they have the right products available when customers need them. This not only reduces stockouts but also increases sales and ultimately leads to a better overall customer experience.

Real-Time Price Adjustments

Real-time data also provides businesses with the ability to adjust prices in real-time, which is particularly advantageous in the retail industry. With price fluctuations based on demand or supply, monitoring market trends and consumer behavior enables businesses to optimize profits and meet customer expectations. By utilizing real-time data for pricing, businesses can create a competitive edge in the marketplace and build customer loyalty.

Single Customer View

To provide personalized experiences, businesses must understand their customers fully. Using a single customer view, businesses can consolidate customer data from multiple sources into one central location. This provides a holistic view of the customer, including their behavior, preferences, and activity across all channels. With this information, businesses can provide personalized recommendations and tailored promotions that meet the customer’s needs.

Geolocation Services

Geolocation services, such as GPS and beacons, offer businesses an excellent opportunity to engage with customers more effectively. Location-based data enables businesses to send personalized promotions and alerts to customers when they are near their stores, which helps drive traffic and improve the overall customer experience. By leveraging location-based data, businesses can create targeted marketing campaigns that resonate with their customers, ultimately leading to improved customer satisfaction.

Personalizing the Customer Experience

In today’s competitive marketplace, personalization has become a requirement for businesses that want to succeed. Real-time data provides businesses with the ability to create personalized experiences that resonate with their customers, including tailored marketing campaigns, personalized recommendations, and customized promotions. By utilizing real-time data for personalization, businesses can enhance customer loyalty, improve customer retention rates, and ultimately increase profits.

Improve Customer Service

Real-time data can also help businesses improve their customer service. By tracking customer behavior and preferences, businesses can anticipate their needs and provide proactive support. For example, if a customer has purchased a product, they might need help setting it up. By anticipating this need and offering support, businesses can enhance their customer experience and build loyalty.

Leveraging real-time data can be a game-changer for businesses looking to enhance their customer experience and stay ahead of the competition. With cloud-based storage of customer information, a single customer view, and personalized promotions, businesses can engage with customers more effectively, improving overall satisfaction and loyalty. By providing proactive support and anticipating customer needs through data analysis, businesses can take their customer service to the next level.


Read More
Author: Flaminio

Evolution of work: the office and home


I couldn’t help myself, I was so incensed by the latest article I read on the insistence of some execs that people return to the office, that I felt a compulsion to write something a little extended on the topic.

Few would dispute the suggestion that office work has undergone a remarkable transformation in the last couple of years, transitioning from rigid hierarchies and traditional cubicles to flexible, collaborative spaces that embrace remote work and digital communication.

The transformation has been driven by technological advancements, changing societal norms, and a reevaluation of the nature of work itself.

The history and nature of office work is a curiosity, if you were to explore the kinds of jobs associated with office environments you might even be surprised, if you analyze the shift away from the traditional office setting you start to recognise the implications for corporate culture, collaboration, and information security.

History
The concept of office work can be traced back to ancient civilizations where scribes and administrators maintained records and facilitated communication for rulers and governments. We often forget that clerical staff existed in the time of the Babylonians, the Pharaohs and the Emperors of Rome, and the Moghuls.

The modern office as we know it emerged only during the Industrial Revolution. With the rise of industrialization and the need for efficient administration, large corporations and government agencies established centralized offices to manage various tasks such as record-keeping, communication, and coordination.

1970s office

Women at work in the bookkeeping room at the Bank of America in 1970. 
Hulton Archive/Getty Images

By the mid-20th century, offices had become synonymous with rows of cubicles, typewriters, and paper files. The hierarchical structure was prominent, with managers overseeing clerical staff performing repetitive tasks. Communication was mostly face-to-face or conducted through interoffice memos.

Office work encompasses a wide range of roles across industries. Some of the typical office jobs include:

  • Administrative Assistants: These individuals provide administrative support, manage schedules, coordinate meetings, and handle correspondence.
  • Accountants and Finance Professionals: Responsible for managing financial records, budgeting, and preparing reports for the organization’s financial well-being.
  • Human Resources Personnel: Oversee recruitment, employee relations, benefits administration, and training programs.
  • Marketing and Sales Teams: Plan and execute marketing strategies, analyze customer data, and manage client relationships.
  • IT Professionals: Maintain the organization’s technological infrastructure, provide technical support, and ensure data security.
  • Project Managers: Coordinate tasks, timelines, and resources to ensure projects are executed efficiently.

There is a nice Indeed article that lays out a raft of once-associated office-bound occupations

All Change
The advent of technology, especially the internet, has brought about a significant shift in how work is done.

The rise of personal computers, email, and digital communication platforms redefined the traditional office space. The concept of remote work emerged, allowing employees to perform tasks from locations other than the physical office. Think “teleworkers”.

Many who still hold “office jobs” today witnessed a shift in their understanding of work-life balance. They sought more flexibility in their work arrangements, and employers recognized the benefits of remote work in attracting and retaining talent.

The COVID-19 pandemic accelerated this shift further, as many organizations were forced to swiftly transition to remote work to ensure business continuity.

Remote work not only offers employees the flexibility to balance personal and professional responsibilities but also reduces commute-related stress and expenses. Additionally, it allows organizations to tap into a global talent pool, leading to increased diversity and innovative thinking within teams.

However, remote work is not without its challenges. The lack of face-to-face interaction can hinder spontaneous collaboration, and feelings of isolation might affect employee morale. To overcome these challenges, organizations turn to digital collaboration tools, video conferencing, and project management platforms to foster communication and teamwork. People’s calendars now get filled up with potentially many more meetings.

Virtual team-building activities, online workshops, and regular check-ins help maintain a sense of community among remote workers. Organizations are also incorporating flexible work hours to accommodate different time zones and individual preferences, further enhancing employee satisfaction and well-being.

The shift toward remote work has also prompted a reevaluation of corporate culture (and expenditure). Traditional office cultures often focused on visible signs of productivity, such as time spent at a desk, rather than on outcomes. In contrast, remote work emphasizes results over mere presence. This change in focus should lead to a more results-oriented and trust-based work environment. But all this assumes that business leaders are actually focused on outcomes and are willing to measure and track outcomes and dare I say, even recognize what kind of outcomes they want to see. What is the baseline measure for productivity? Many can’t say for certain.

Focusing on Effectiveness
Productivity and effective communication often go hand in hand, it is quite obviously essential for any organization’s success what needs to be done, and how, should be communicated with clarity. It is equally important for team members to understand how they will be assessed and how they should self-assess.

The digital age has brought both opportunities and challenges and digital tooling facilitates quick communication but can also lead to information overload and misinterpretation.

It’s crucial for organizations to establish clear communication guidelines and encourage active listening and empathy, irrespective of whether employees are working remotely or in the office.

Clerical, administrative, and office work has moved squarely beyond the physical office but has brought another challenge front and center. That concern is ensuring information security.

Controlling information assets has become paramount. Remote work opens up new avenues for cyberattacks and data breaches. Organizations now have to invest in robust cybersecurity measures, including encryption, multi-factor authentication, and regular employee training on recognizing and responding to security threats.

Moonlighters
A further concern that has been raised, is principally focused on offshore workers, but it is as relevant on shire and near-shore too. The concern is about the potential for remote workers to engage in moonlighting activities.

Moonlighting refers to the practice of employees taking on additional jobs, often during their official work hours, without the knowledge or consent of their primary employer.

This phenomenon can lead to decreased productivity, compromised work quality, and conflicts of interest. Additionally, moonlighting might result in the leakage of sensitive company information to competitors or unauthorized parties. Addressing this risk is essential to maintain the integrity of remote work arrangements and uphold the organization’s values.

Clear Communication and Policies are the first steps in mitigating the risk of moonlighting. It requires clear communication regarding the organization’s policies.

It should include explicit clauses in employment contracts or remote work agreements that address moonlighting, specifying whether it’s allowed, prohibited, or requires prior approval. These policies should outline the potential consequences of engaging in unauthorized work during official work hours, emphasizing the importance of transparency and ethical behavior.

Organizations that implement robust performance metrics that allow managers to gauge remote workers’ productivity and work quality objectively will help.

Regular performance evaluations and goal-setting sessions can provide insights into an employee’s commitment and focus. When employees are held accountable for their output, they are more likely to prioritize their primary job responsibilities over moonlighting activities.

Cultivating a culture of trust and engagement within the organization is the fine line to walk here.

When employees feel valued and respected, they are less likely to seek external employment opportunities that might compromise their primary role. Encouraging open dialogue between managers and remote workers, allows them to voice any concerns or challenges they might be facing. This approach fosters a sense of belonging and reduces the temptation to engage in moonlighting.

Business leaders should also consider offering flexible work arrangements that accommodate employees’ personal needs and interests.

By allowing flexible work hours, employees may have the opportunity to pursue personal projects or interests outside of their primary role without resorting to moonlighting during official work hours. This can strike a balance between promoting individual growth and ensuring productivity.

The technology can also be used to monitor employee productivity and engagement during work hours, it can provide insights into how employees spend their time while working remotely. However, it’s important to use these tools transparently and ethically, respecting employees’ privacy and autonomy and of course respecting local laws.

Leaders that maintain regular check-ins and communication channels between managers and remote workers and who stay connected and informed about ongoing projects and challenges have the advantage.

Engaged managers can identify potential signs of moonlighting and address them proactively. These interactions also reinforce the organization’s commitment to maintaining high work standards.

Dealing with executive fear
Executives have long associated the visibility of their employees’ physical presence in the office with a sense of control, productivity, and the traditional markers of success.

However, focusing solely on the visibility of physical bodies is not conducive to fostering a thriving and innovative work environment. Execs should overcome their concerns about visibility and consider rethinking the nature of corporate offices.

Success is measured not by the number of hours an employee spends at their desk but by the results they achieve. Rigid adherence to physical presence can create a culture where employees prioritize appearing busy over-delivering meaningful outcomes. Execs who shift their focus to valuing tangible contributions rather than mere visibility encourage a more results-oriented approach among their teams.

I already mentioned flexible work arrangements, including remote and hybrid models. This demonstrates trust in employees’ ability to manage their work effectively regardless of their physical location. This trust, in turn, boosts employee morale, loyalty, and commitment to the organization. By allowing employees to balance work and personal responsibilities, executives show their dedication to employee well-being and work-life integration.

Rethinking the traditional office model allows organizations to tap into a diverse talent pool that might not be able to commute to a physical office location. Remote work and flexible arrangements open the doors to hiring individuals from different geographies, backgrounds, and perspectives. Diversity can drive innovation, creativity, and a broader range of ideas.

Redefining the nature of corporate offices can lead to cost savings related to office space, utilities, and facilities management. Such resources can be redirected toward investing in technology, employee development, and other areas that contribute to the organization’s growth and sustainability.

Execs should shift their perspective on corporate offices from being showcases of power and impressiveness to becoming hubs of collaboration, innovation, and employee well-being.

Rather than focusing on grandeur, consider designing office spaces that foster collaboration and teamwork. Create open and flexible workspaces that encourage spontaneous interactions, idea sharing, and cross-functional collaboration. These spaces can include communal areas, breakout rooms, and digital tools that facilitate virtual collaboration for remote team members.

Prioritize employee well-being by providing amenities that enhance their physical and mental health. Incorporate elements like ergonomic furniture, natural lighting, recreational spaces, and wellness programs. Execs who invest in employee well-being create an environment where employees feel valued and motivated to contribute their best.

Technology infusion throughout the office environment facilitates communication and enhances productivity. Video conferencing systems, interactive displays, and collaboration platforms connect teams across different locations and time zones. This approach ensures that both in-office and remote employees can participate in discussions and projects effectively and seamlessly.

Shifting the focus from measuring success based on office hours to evaluating outcomes and contributions and setting clear performance metrics that align with business goals and encourage employees, allows them to take ownership of their work. This approach empowers employees to demonstrate their value through tangible results.

Consider giving employees the ability to design their workdays and environments in ways that optimize their productivity and well-being. Allow them to choose when and where they work, within the boundaries of team collaboration and project deadlines. Execs who prioritize employee empowerment create a sense of ownership and accountability.

Remote work is here to stay, organizations need to reimagine their corporate culture, they need to foster collaboration across distances, and address the challenges of effective communication and information security.

The office is no longer bound by physical walls; it’s now a dynamic space where technology and human creativity intersect to shape the future of work.

By embracing these changes, organizations create a harmonious balance between tradition and innovation, leading to increased productivity, employee satisfaction, and success in the ever-evolving landscape of office work.


Read More
Author: Uli Lokshin

Data Privacy Acts from around the world

Since the introduction of GDPR, there has been a broadening and legislated clarification of data privacy and protection measures across the globe. If you store or manage customer data in your systems you should be familiar with the expectations around how and what you handle.

General Data Protection Regulation (GDPR)
The GDPR is a comprehensive data protection regulation in the European Union (EU) that sets strict standards for the collection, processing, and protection of personal data of EU residents. It applies to businesses operating within the EU and those outside the EU that process the data of EU residents.

California Consumer Privacy Act (CCPA)
The CCPA is a privacy law in California, USA, that grants consumers certain rights over their personal information. It requires businesses that collect and process the personal data of California residents to provide transparency, control, and security for that data.

Personal Information Protection and Electronic Documents Act (PIPEDA)
PIPEDA is Canada’s federal privacy law that governs how private sector organizations handle personal information. It applies to the collection, use, and disclosure of personal data in commercial activities.

Health Insurance Portability and Accountability Act (HIPAA)
HIPAA is a US federal law that focuses on the privacy and security of medical information. It mandates safeguards to protect patients’ medical records and other health-related information.

Personal Data Protection Act (PDPA)
Singapore’s PDPA regulates the collection, use, and disclosure of personal data by organizations. It aims to balance individuals’ right to privacy with the need for organizations to collect and use data for legitimate purposes.

Privacy Act of 1974 (USA)
This US federal law governs the collection, use, and disclosure of personal information by federal agencies. It provides individuals with certain rights regarding access to and correction of their records.

Australian Privacy Principles (APPs)
The APPs are a set of privacy principles under the Privacy Act 1988 in Australia. They regulate the handling of personal information by Australian government agencies and businesses.

Personal Information Protection Law (PIPL)
China’s PIPL is a comprehensive privacy law that focuses on the protection of personal data. It includes provisions for data processing, cross-border transfers, and individual rights.

Data Protection Act 2018 (DPA 2018)
The UK’s DPA 2018 supplements the GDPR and provides specific provisions for how data protection is implemented in the UK after its departure from the EU.

Kenya Data Protection Act (2019)
Kenya’s data protection law governs the processing of personal data in Kenya. It outlines data protection principles, individual rights, and obligations for data controllers and processors.

Personal Data Protection Law (PDPL)
The PDPL is South Korea’s data protection law that aims to protect personal data while enabling its effective use. It regulates data processing by both private and public entities.

Brazilian General Data Protection Law (LGPD)
LGPD is Brazil’s comprehensive data protection law that governs the processing of personal data. It provides guidelines for collecting, using, and transferring data while respecting individuals’ rights.

Find out how Pretectum CMDM can be of assistance in ensuring you keep your consumer data compliant.

The Top Benefits of Analyzing Data at the Edge


Demand for real-time data and analytics has never been higher – and for good reason. Businesses want to be able to tap into their data and generate insights that can lead to a competitive edge in their respective industry. To meet those objectives, organizations are increasingly turning to the cloud, on-premise data centers, and the […]

The post The Top Benefits of Analyzing Data at the Edge appeared first on DATAVERSITY.


Read More
Author: Rudy De Anda

Managing Data Costs on Azure


As more businesses migrate their operations and data to the cloud, managing costs becomes an increasingly pertinent concern. Microsoft Azure, being one of the most versatile and popular cloud platforms, offers a vast array of data services but also comes with its own set of costs.  Proper management of these costs can help businesses leverage […]

The post Managing Data Costs on Azure appeared first on DATAVERSITY.


Read More
Author: Gilad David Maayan

Overcome Data Parsing Obstacles with the Power of Machine Learning


Web scraping is used for, among other things, getting the vast volumes of publicly available data needed for training algorithms for machine learning (ML). The relationship between data scraping and ML is, however, symbiotic rather than one-sided. On the other side is ML’s ability to improve the fundamental procedures underlying web data gathering, making it […]

The post Overcome Data Parsing Obstacles with the Power of Machine Learning appeared first on DATAVERSITY.


Read More
Author: Juras Juršėnas

Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security


The term “big data” is no longer the exclusive preserve of big companies. Businesses of all sizes increasingly see the benefits of being data-driven. Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools. Effective access to […]

The post Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security appeared first on DATAVERSITY.


Read More
Author: Tamas Kadar

Eyes on Data: Importance of Data Governance When Implementing AI/ML
Artificial Intelligence (AI), Machine Learning (ML) and Large Language Models (LLM) have turned the world on its head. From finance to manufacturing to pharmaceuticals to retail, every industry is jumping on the AI/ML bandwagon. And for good reason. AI/ML has the ability to improve efficiency, drive automation, and shorten delivery cycles. AI/ML applications can absorb […]


Read More
Author: EDM Council

RSS
YouTube
LinkedIn
Share