Pharmacovigilance: Advances In Artificial Intelligence (AI) Technologies And Data Analytics Increases Safety, Improve Equity And Enhance Engagement And Experience In Patient Support Programmes

Why Patient Safety Strategies Need To Change Ensuring the quality and safety of a medicinal product is both a moral and a regulatory requirement across the biopharmaceutical (biopharma) value chain. Pharmacovigilance (PV) is a crucial mechanism for providing evidence to the biopharma industry and regulators of the long-term safety profile

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A Framework To Help Leaders Assess Their Current Capabilities Of Data And Analytics And Invest In Strengthening Their Capabilities

Almost every company is trying to capitalize on the promise of data and analytics, but a large majority of senior leaders don’t feel like their organizations are hitting the mark. What separates leaders from these lagging companies, and how can firms struggling with the analytics mandate catch up with –

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Prescriptive Analytics: The Final Stage Of Business Analytics

Technology has given us the ability to forecast enterprise trends and predict success in ways the business leaders of yesterday couldn’t fathom. In the past, successful businesses had to rely on small sample sizes, simple questionnaires, and other ways of gathering of data to predict general trends, but not anymore.

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The Best Way To Manage No-Code Analytics Reports: An Old School Approach – 80:20 Rule

No-code tools can be helpful in democratizing data science and providing fast results for users, but IT’s old school 80:20 rule definitely applies. No-code applications are expanding because users are frustrated with IT bottlenecks and they want to get their reports and apps faster. It’s also worth noting that most

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New Era Of Spatial Thinking: GeoSpatial Analytics, Location-Aware Devices & Services – What Does It Mean For Your Organization

For many organizations, location is more important than ever for key decision-making. And multiple technology trends are making the insights of geospatial analytics increasingly accessible and valuable. Location-aware devices and services have exposed billions around the world to how technology can support “spatial thinking.” Whether searching on Google, navigating to

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Creating AI Brain Trust | Why Is Data Analytics Key To AI? Part One Of Three

This blog is a continuation of the Building AI Leadership Brain Trust Blog Series which targets board directors and CEOs to accelerate their duty of care to develop stronger skills and competencies in AI in order to ensure their AI programs achieve sustaining results. In this blog series, I have

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4 Biggest Big Data And Data Analytics Trends For 2021

Self-driving cars, lifelike robots, and autonomous delivery drones are the sexy, headline-grabbing face of the digital transformation that we see all around us today. None of these would be possible, though, without data – the oil of the fourth industrial revolution – and the analytic technology we’ve built to allow

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Revolutionize Utilities’ Security With Help Of AI And Video Analytics

According to Gartner’s latest CIO survey, 94% of Energy, Oil & Gas Utilities’ IT leaders prioritize location and cybersecurity, 38% are investing in Artificial Intelligence and machine learning and 17% in the Internet of Things including sensor-based video technologies. Energy, Oil & Gas Utilities are facing increasing pressure to reduce

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In Time Of Challenges How Martech Is Driven By Automation, AI And Analytics

Marketing teams have been struggling for years to adjust to their changing roles amid digital transformation. This year, they’ve added a global pandemic, layoffs, and budget cuts to the ever-changing marketplace. Whereas just a few months ago, many were arguing whether CMOs are even relevant post-digital transformation, marketing teams are

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Top Ten Data Analytics And Business Intelligence Platforms In 2020

As we start a new decade, the top trends for business analytics platforms are cloud, artificial intelligence, automation, on-device (edge) analytics, and augmentation. Cloud ecosystems empowered with AI have matured greatly in recent years. Smart, augmented prediction and decision-making tools are at a stage where they are ready to be deployed across organizations, from the boardroom to the shop floor. The challenge is making sure your business is ready to use them.

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Data-Driven HR: The Pitfalls Of People Analytics

Today’s HR teams potentially have access to huge amounts of data, and this can bring great rewards for those who use that data intelligently. But, data also brings its own unique challenges. Therefore, before implementing any data-driven HR approach, it’s important to consider the potential pitfalls that surround employee-related data, particularly when it comes to their personal data.

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