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AI to Have Dramatic Impact on Business by 2020, According to Tata Consultancy Services Global Trend Study

Tata Consultancy Services (BSE: 532540, NSE: TCS), a leading global IT services, consulting and business solutions organization, unveiled its Global Trend Study titled, “Getting Smarter by the Day: How AI is Elevating the Performance of Global Companies.” Focused on the current and future impact of Artificial Intelligence (AI), the study polled 835 executives across 13 global industry sectors in four regions of the world, finding that 84% of companies see the use of AI as “essential” to competitiveness, with a further 50% seeing the technology as “transformative.”

Commercial Analytics and It’s Defining Role In Pharma Marketing

Pharma companies are working hard to build effective patient access programs and implement an effective commercial strategy around it. Expiring patents and competitive pressure is a real challenge and companies need to explore opportunities with the help of the vast amounts of data they own. Big Data and Analytics capabilities are helping companies define that strategy and execute a plan, which will help them succeed. Our friends over at Prescriber360 put together the infographic below containing facts and figures to emphasize the need of a well-planned analytics strategy.

“Above the Trend Line” – Your Industry Rumor Central for 4/24/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Taking the Five Second Rule Beyond the Dinner Table to Prevent Cyber Attacks

In this contributed, Eric Tran-le, Global Chief Marketing Officer at Logtrust Inc., discusses how big data analytics is being used to fight fraud across a number of different industries facing the same data problems.

Predicting Mobile App User Churn: Training & Scaling Our Machine Learning Model

In this contributed article, Lisa Orr, senior data scientist at Urban Airship, describes how her team predicted mobile app user churn and Urban Airship trained and scaled their machine learning model over the last year — and how now it’s reaping valuable insights.

Interview: Anusua Trivedi, Data Scientist on Microsoft’s Advanced Data Science & Strategic Initiatives Team

In this podcast interview, I caught up with Anusua Trivedi, a Data Scientist on Microsoft’s ADS team, to get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Using Machine Learning and Big Data Analytics to Improve Existing Business Systems

In this contributed article, Dan Adika, CEO and cofounder of WalkMe, discusses how big data, combined with machine learning and artificial intelligence, can contextually guide employees on how to use any system, provide businesses with insights into common technology obstacles, and ultimately personalize the user experience to drive greater adoption.

Interview: Bernd Harzog, CEO and Founder of OpsDataStore

I recently caught up with Bernd Harzog, CEO and Founder of OpsDataStore to discuss why data-driven IT operations are a prevailing theme in big data management. Bernd is responsible for the strategy, execution and financing activities of the company. Bernd founded OpsDataStore because every customer that he spoke to still had horrible service quality and capacity utilization problems despite a massive investment in either purchased or home grown tools.

Some Simple Applications of Artificial Intelligence

In this contributed, Harnil Oza, CEO of Hyperlink Infosystem, offers a simple, starter’s view of artificial intelligence (AI) with some common examples of how the technology is impacting everyday life.

Data Monetization: Water and Wastewater Utilities in the Information Age

In this contributed article, Tal Avrahami, a Senior Product Manager at Ayyeka, discusses how water and wastewater utilities can monetize their data and improve profitability by generating top-line growth and reducing costs?