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To Derive Value from Predictive Analytics, Intent Data Is a Must

In this special guest feature, John Steinert, CMO of TechTarget, discusses how marketers must correctly complement CRM and marketing automation data with actionable purchase intent insights that come from external behavioral data. Purchase intent insights help marketers see the actions prospects take that are otherwise hidden.

When Data Quality meets Context, Health Wearables Find Their Power

In this special guest feature, Jiang Li, CEO of VivaLNK, offers three key considerations when it comes to remote patient monitoring (RPM) and the Internet of Healthcare Things (IoHT); a world where devices remotely and continuous gather meaningful data on the state of our health before, during and after a health event.

How to Safeguard Your “Data Lake” for Better Decision Making

In this special guest feature, Mike Vogt, Data Practice Lead at SPR Consulting, believes it is absolutely critical for organizations that deal with large amounts of data to carefully protect their information repositories. He suggests that it’s very important that IT departments set boundaries and give clear directives on how all data is used when the rest of their organization begins “swimming” — or using this data to make decisions — in the data lake, and offers four rules to follow.

AI Will Not Replace Radiologists

In this special guest feature, Elad Walach, CEO of Aidoc, offers four important reasons today’s budding radiologists need not fear AI displacement. Given mounting workloads and the severe shortage of radiologists in the face of rising demand, AI augmentation will be a tremendous boon to the profession—not an existential threat.

The Must-Haves of a Modern Data Prep Platform

In this special guest feature, Joe Hellerstein, Co-founder and Chief Strategy Officer at Trifacta, discusses how the challenge of data preparation sits squarely between the growth of BI and visualization tools and the specific data needed to fuel them. Efficient data preparation is key to alleviating new demand from business users. This article offers three key requirements that a data preparation platform should have.

Lawyers Reaping the Rewards From AI Robots: How Artificial Intelligence is Transforming the Legal Industry

In this special guest feature, Alistair Wye, Lead Product Strategist for iManage RAVN, discusses how AI is transforming the ways lawyers do work, allowing them to deliver more value to their clients, as well as freeing up their time to do more rewarding tasks.

Entering the Age of Data Valuation

In this special guest feature, Steve Todd, Fellow at Dell Technologies, discusses how organizations are working towards IT and digital transformation to make the promise of data real, and more importantly, result in business outcomes that drive incredible value for their business … otherwise known as data valuation.

Struggling with GDPR Compliance? Try the Mindfulness Diet

In this special guest feature, Alex Gorelik, Founder and CTO of Waterline Data, offers some tips on how organizations can achieve Data Mindfulness as it applies to GDPR. Even today’s largest public companies don’t pay enough attention to and misuse their data, but that’s all GDPR is – a set of guidelines to be mindful of data: Where is it? Why was it collected? What do we have customer’s permission to use this data for? Is it used for the appropriate reasons? And is it adequately protected?

How Eliminating Data Silos Will Democratize Pharma R&D

In this special guest feature, Gunjan Bhardwaj, Founder and CEO of Innoplexus, discusses how data silos in pharma prevent the latest advancements in machine learning and data analytics from operating at their full potential, how AI and blockchain are transforming incentives in data sharing practices to promote greater transparency, and how companies can leverage open data to drive innovation and lower drug prices.

Transforming Big Data into Meaningful Insights

In this special guest feature, Marc Alacqua, a founding partner of Signafire, discusses a useful approach to data – known as data fusion – which is essentially alchemy-squared, turning not just one but multiple raw materials in to something greater than the sum of their parts. It goes beyond older methods of big data analysis, like data integration, in which large data sets are simply thrown together in one environment. In this new science of data fusion, technology is deployed not just to mash together billions of data records, but to fundamentally transform them so that humans can understand the unseen commonalities or inconsistencies within them.