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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.

data.world Secures Nearly $19 Million in Venture Capital Funding

data.world, the social network for data people, today announced it has closed $18.7 million in venture capital funding at double the valuation of its previous round. This second round brings the total amount of capital raised to $32.7 million and places data.world among the technology sector’s top-5 venture-backed Certified B Corporations of all time. The new capital will be used to fund rapid progress toward the company’s mission to build the most meaningful, collaborative, and abundant data resource in the world.

Syncsort’s Annual Mainframe Survey Spotlights Big Iron’s Critical Role in Big Data Analytics

Syncsort, a global leader in Big Iron to Big Data solutions, announced the results from its annual “State of the Mainframe” survey, which underscore the rising importance of mainframe data as a critical component of enterprise-wide strategies that leverage modern data architectures for Big Data analytics.

insideBIGDATA Guide to Deep Learning and Artificial Intelligence

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. In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We also explain the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. We present the results of a recent insideBIGDATA survey, “insideHPC / insideBIGDATA AI/Deep Learning Survey 2016,” to see how well these new technologies are being received. Finally, we take a look at a number of high-profile use case examples showing the effective use of AI in a variety of problem domains.

How Companies Get Value from Data Science Production

Data science software maker, Dataiku, recently completed a worldwide survey that asked thousands of companies: how does your organization put data science into production? The results show that most companies using data science have unique challenges that fall into four different profiles: Small Data Teams, Packagers, Industrialization Maniacs, and The Big Data Lab.

Amplifying Human Potential: Towards Purposeful Artificial Intelligence – A Perspective For CIOs

Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, released multinational research findings on artificial intelligence (AI) business impact, market maturity and expectations. The research report, Amplifying Human Potential: Towards Purposeful Artificial Intelligence, polled 1,600 senior business decision makers at large organizations across the world.