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2017 Data Connectivity Outlook

Our friends over at Progress revealed some new findings from their 2017 Data Connectivity Outlook global survey. In the 4th annual survey based on responses from 1,200 business and IT professionals around the world, the results validate the explosive growth seen in SaaS data sources and the common challenges faced when trying to connect to data in a hybrid environment.

‘Learning Database’ Speeds Queries from Hours to Seconds

University of Michigan researchers developed software called Verdict that enables existing databases to learn from each query a user submits, finding accurate answers without trawling through the same data again and again. Verdict allows databases to deliver answers more than 200 times faster while maintaining 99 percent accuracy. In a research environment, that could mean getting answers in seconds instead of hours or days.

Artificial Intelligence in the Real World – the business case takes shape

Artificial Intelligence in the Real World: The business case takes shape is a report from The Economist Intelligence Unit (EIU) sponsored by Wipro Limited. It draws upon a survey conducted in the second half of 2016 of 203 executives around the globe. The purpose of the study has been to gauge corporate attitudes toward AI in different regions and different industries. Based on a global survey of 203 senior executives, it finds that, especially in North America, companies in health and life sciences, in retail, in manufacturing and in financial services are actively testing the waters.

UMass Amherst Computer Scientists Develop New Techniques to Measure Social Bias in Software

Today, banks are increasingly using software to decide who will get a loan, courts to judge who should be denied bail, and hospitals to choose treatments for patients. These uses of software make it critical that the software does not discriminate against groups or individuals, say computer science researchers at the University of Massachusetts Amherst. […]

Couchbase Research Reveals a Majority of Organizations Expect to Fail in Four Years if Digital Transformation Approach Is Unsuccessful

Despite spending millions of dollars on digital transformation in the past year, enterprises still feel they are at significant risk of being left behind by their industries, research from Couchbase shows. In the survey of 450 heads of digital transformation for enterprises across the U.S., U.K., France, and Germany, 80 percent are at risk of being left behind by digital transformation while 54 percent believe organizations that don’t keep up with digital transformation will go out of business or be absorbed by a competitor within four years.

Thales: 63% of Enterprises Using Cloud, Big Data, IoT and Container Environments without Securing Sensitive Data

Thales, a leader in critical information systems, cybersecurity and data security, announced the results of its 2017 Thales Data Threat Report, Advanced Technology Edition, issued in conjunction with analyst firm 451 Research. According to the report, 93 percent of respondents will use sensitive data in an advanced technology (defined as cloud, SaaS, big data, IoT and container) environments this year.

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.”

New Research Proves Increased Awareness in the Value of Open Data Science, but Enterprises are Slow to Respond

New research announced by Continuum Analytics, the creator and driving force behind Anaconda, a leading Open Data Science platform powered by Python, finds that 96 percent of data science and analytics decision makers agree that data science is critical to the success of their business, yet a whopping 22 percent are failing to make full use of the data available. These findings are included in Continuum Analytics’ new eBook, Winning at Data Science: How Teamwork Leads to Victory.

Open Source Tools for Enterprise Data Science

Learn about open source tools for enterprise data science by downloading the new white paper, “DataScience Trends Report: Open Source Tools for Enterprise Data Science” by DataScience, Inc. The white paper looks at activity data from the most popular GitHub repositories to identify trends in data visualization tools, deep learning libraries, and open source licensing using the interactive DataScience Trends tool.

Are AI/Machine Learning/Deep Learning in Your Company’s Future?

The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the fourth in a series of articles providing content extracted from the guide. The topic for this segment is the results of the recent “insideHPC insideBIGDATA AI/Deep Learning Survey 2016” underwritten by NVIDIA.