Big Data News – 19 Sep 2016

Today's Infographic Link: The Psychology of Colour

Featured Article
The insights gained from big data analytics and the Industrial Internet of Things (IIoT) to drive greater manufacturing intelligence and operations performance is considered essential by 68% of manufacturers. These manufacturers are planning to increase their investment in data analytics in the next 12 months to improve operational performance and gain greater insights into how they can excel.

Top Stories
At the 2016 Oracle OpenWorld conference, Oracle unveiled a host of new cloud products, including many SaaS and PaaS tools.

SAP has made no secret of the fact that its bets for the future rest largely on its Hana in-memory computing platform. But broad adoption is a critical part of making those bets pay off. Aiming to make Hana more accessible to companies of all shapes and sizes, the enterprise software giant on Monday unveiled a downloadable "express" edition that developers can use for free. The new express edition of SAP Hana can be used free of charge on a laptop or a PC to develop, test and deploy production applications that use up to 32GB of memory; users who need more memory can upgrade for a fee. Either way, the software delivers database, application and advanced analytics services, allowing developers to build applications that use Hana's transactional and analytical processing against a single copy of data, whether structured or unstructured.

A Korean-American whose family emigrated to the United States when she was five years old, Suh embodies what one hopes is the future of IBM.

Well, it's 2016, and a few years ago Garnter reported that "By 2016, poor return on equity will drive more than 60 percent of banks worldwide to process the majority of their transactions in the cloud." Enterprises across all sectors are either in the cloud, transitioning to the cloud, or thinking about making the idea of cloud a reality.  For those who are preparing to make the move, there are a variety of concerns to consider and plan for in order to make for a smooth transition. In addition to deciding on the right cloud provider and whether to go with a private or a public cloud, CISOs also need to think about implementing solutions for controls on access, encryption, legal and compliance issues.

Larry Ellison has a message for Amazon Web Services: Oracle is going to give Amazon a run for its money in the cloud market. "Amazon's lead is over," he said during his keynote address at the OpenWorld conference in San Francisco. "Amazon's going to have serious competition going forward." To that end, the company he co-founded is launching a set of new cloud data centers that are aimed at providing more powerful compute instances to help it compete against the likes of AWS, Azure and other cloud players. The generation 2 data centers will help bring a variety of performance improvements to customers who want to run high-performance workloads in the cloud.

Oracle Application Users Group (OAUG) incoming president Alyssa Johnson provided a cloud reality check about how quickly her organization's members are adopting cloud solutions.

Modernizing Java EE (Enterprise Edition), the server-side version of Java, for the cloud and microservices will require two critical upgrades to the platform. Version 8 is set to arrive in late 2017, followed by Java EE 9 a year later, Oracle revealed on Sunday. Although Java EE already is being used in cloud deployments, Oracle sees a need to better equip it for this paradigm, said Anil Gaur, Oracle's group vice president of engineering, at the JavaOne conference in San Francisco. To this end Java EE 8, which had already been mapped out, will receive two additional sets of capabilities: one for configuration of services, and the other for health checking to monitor and manage services communications.

Larry Ellison has a message for Amazon Web Services: Oracle is going to give Amazon a run for its money in the cloud market. "Amazon's lead is over," he said during his keynote address at the OpenWorld conference in San Francisco. "Amazon's going to have serious competition going forward." To that end, the company he co-founded is launching a set of new cloud datacenters that are aimed at providing more powerful compute instances to help it compete against the likes of AWS, Azure and other cloud players. The generation 2 datacenters will be capable of bringing a variety of performance improvements to customers who want to run high-performance workloads in the cloud.

Oracle has agreed to acquire Palerra, a vendor of software for securing cloud services, as part of its strategy to provide customers comprehensive identity and security cloud services Palerra offers a Cloud Access Security Broker product called Loric that offers a combination of visibility into cloud usage, data security, user behavior analytics, and security configuration, with automated incident responses. "We think this is an important addition to our overall cloud security portfolio," Larry Ellison, Oracle's  executive chairman and chief technology officer said in his keynote Sunday at the Oracle OpenWorld conference.  "It [Security] is job one at Oracle. We'll keep building, and when we find a supplier out there who is doing good work, we'll buy them."

If there was any doubt that AI has officially arrived in the world of enterprise software, Salesforce just put it to rest. The CRM giant on Sunday announced Einstein, a set of artificial intelligence capabilities it says will help users of its platform serve their customers better. AI's potential to augment human capabilities has already been proven in multiple areas, but tapping it for a specific business purpose isn't always straightforward. "AI is out of reach for the vast majority of companies because it's really hard," John Ball, general manager for Salesforce Einstein, said in a press conference last week.

If there was any doubt that AI has officially arrived in the world of enterprise software, Salesforce just put it to rest. The CRM giant on Sunday announced Einstein, a set of artificial intelligence capabilities it says will help users of its platform serve their customers better. AI's potential to augment human capabilities has already been proven in multiple areas, but tapping it for a specific business purpose isn't always straightforward. "AI is out of reach for the vast majority of companies because it's really hard," John Ball, general manager for Salesforce Einstein, said in a press conference last week.

Einstein employs a combination of machine learning, deep learning, predictive analytics, natural language processing and advanced data discovery.

One of the most significant characteristics of the evolving digital age is the convergence of technologies. That includes information management (databases), data collection (big data), data storage (cloud), data applications (analytics), knowledge discovery (data science), algorithms (machine learning), transparency (open data), computation (distributed computing: e.g., Hadoop), sensors (internet of things: IoT), and API services (microservices, containerization). One more dimension in this pantheon of tech, which is the most important, is the human dimension. We see the human interaction with technology explicitly among the latest developments in digital marketing, behavioral analytics, user experience, customer experience, design thinking, cognitive computing, social analytics, and (last, but not least) citizen science. Citizen Scientists are trained volunteers who work on authentic science projects with scientific researchers to answer real-world questions and to address real-world challenges (see discussion here). Citizen Science projects are popular in astronomy, medicine, botany, ecology, ocean science, meteorology, zoology, digital humanities, history, and much more. Check out (and participate) in the wonderful universe of projects at the Zooniverse (zooniverse.org) and at scistarter.com.

Attend TC16 November 7-11 Learn, share, network, and party with your data. If you love data–the stories it tells, the action it inspires, the success it brings to your business–Tableau Conference 2016 is the place you want to be. Learn, share, network, and party with thousands of data people from every industry. This year science is coming to Tableau Conference in Austin, Texas this November 7-11 like never before with keynotes from Bill Nye, the Science Guy, and Shankar Vedantam. Learn more Keynote: Shankar Vendatam Shankar Vedantam is NPR's social science correspondent and the host of the Hidden Brain podcast.

Webinar:  IT Security in the Cloud We invite you to learn more about IT Security in the Cloud by joining our webinar onTuesday, September 27 at 12:00 pm EST. Cloud computing has generated a lot of excitement due to its flexibility and potential cost savings; however, it brings significant trials to IT security systems, processes, and policies. While cloud-based environments face many of the same security threats as traditional systems, the complexity, reliance on third-parties, and evolving control technologies and policies make IT security challenging.




Explore behavior to optimize and grow your company digital business Behavioral analytics is changing the way companies market and build their products and services. By understanding how all actors (such as users, accounts, or devices) interact with emerging digital platforms, companies can identify unexpected opportunities and test the impact of initiatives they take to exploit them.    

Open data science languages – Python and R – offer tremendous advantages over legacy, proprietary products like SAS and MATLAB. You can embrace modern innovation, attract a new generation of data scientists, and go from ad hoc analysis to production models in one platform that embraces the open source ecosystem. But how does your enterprise make the transition without descending into anarchy? How can you embrace R, Python, and their thousands of powerful analytic packages without their accompanying legal risks? How do you see through the legacy vendor FUD and make open source work? We are here to help – Continuum Analytics EVP Anaconda Business Unit Michele Chambers and Sr. Data Scientist Christine Doig will help you embark on your enterprise's journey to Open Data Science in their webinar: Breaking Data Science Open on September 15th.

View this email online Check out this demo of Statistica Network Analytics. Grasp complex relationships by combining predictive analytics and human expertise. Register for Webcast New webcast: Six (Million) Degrees of Separation: The Practical Power of Network Analytics Date: Thursday, September 22, 2016 Time: 8 a.m. PT / 11 a.m. ET / 5 p.m. CEST The relationships hidden within complex networks are no match for the network analytics capabilities of Statistica 13.1. Join us as we discuss the practical power of network analytics and showcase Statistica's new features, use cases, visual capabilities and more. You'll learn how to tackle: Fraud detection Supply chain optimization Recommendation engines Identifying influencers and affinities.

If you excel in mathematics, have a high level of quantitative ability, and enjoy working with data sets and solving problems, you have a range of academic and career options. Datascience@berkeley, the online Master of Information and Data Science (MIDS) from UC Berkeley School of Information, is designed to prepare professionals to be leaders in the rapidly evolving field of data science. While many degree programs are just now adapting to the Big Data revolution, UC Berkeley's MIDS program takes a comprehensive approach to data analysis, focusing on the latest tools and approaches to working with data. 

Real Time Anomaly Detection Read the whitepaper Real-Time Anomaly Detection and Analytics for Today's Digital Business (White Paper) Detecting incidents in streaming business data is a unique challenge, and data-heavy companies are often faced with: " Static thresholds that are either meaningless or cause alert-storms for seasonal data " Dashboards and reports that lag behind " Delays in identifying business incidents that impact revenue In this White Paper, Jason Bloomberg of Intellyx discusses how real-time anomaly detection based on machine learning is a game changer for digital technology companies.

Predictive Analytics World for Healthcare – Oct 23-27 in New York – brings together top predictive analytics experts, practitioners, authors, and healthcare thought leaders to discuss concrete examples of deployed predictive analytics in the healthcare industry. This event is held alongside two additional events: PAW Financial Services and PAW Business. 

  London Data Festival, November 16th & 17th The program for the London Data Festival is filling out, with new sessions being added every week – the depth and breadth of content covered is unrivaled with three separate summits all under one roof. Consisting of over 400+ senior-level attendees, exclusive presentations and interactive workshops, this the best place to improve your data literacy and connect with the best.  

This entry was posted in News and tagged , , , , , , , , . Bookmark the permalink.