Data science, ethics, and the ‘massive scumbags’ problem

Discussions of ethics in data science and artificial intelligence are all well and good, but they won’t go anywhere if the prime directive is making massive profits for venture capitalists.

March 29th, 2019|News|0 Comments

Microsoft, Adobe & SAP are out to prove the ODI is ‘open’

Microsoft, Adobe and SAP announced a new 12-member ODI Partner Council, expanding the number of backers of the Open Data Initiative Microsoft announced last fall.

March 27th, 2019|News|0 Comments

AI will jazz up the customer experience, IT leaders hope

Survey finds IT executives are turning their attention and resources to the next great frontier of corporate growth — giving customers personalized experiences to remember.

March 27th, 2019|News|0 Comments

Microsoft Project moves into the online world

The vintage desktop application is getting Azure integration, Microsoft Flow, and the Microsoft business applications platform.

March 6th, 2019|News|0 Comments

Intel’s neuro guru slams deep learning: ‘it’s not actually learning’

Intel’s director of its neuromorphic computing initiative, Mike Davies, chided Facebook’s Yann LeCun at an industry conference for failing to appreciate the virtues of the Intel technology. He derided the deep learning approach of LeCun and others as failing to truly add up to “learning.”

February 23rd, 2019|News|0 Comments

Using science fiction to understand the future of the web

Eliot Peper’s near-future SF novels ask questions about social media, the internet, and the future of government.

February 22nd, 2019|News|0 Comments

4 steps to user buy-in for big data

Maximizing big data efforts remains a work in progress for many companies. Here’s how to increase user adoption.

February 21st, 2019|News|0 Comments

10 ways data and analytics will impact businesses

Augmented analytics and artificial intelligence are among the top trends in the field that will significantly change businesses in the coming years, according to Gartner.
Augmented analytics and artificial intelligence (AI) are among the top data and analytics technology trends that have the potential to significantly change business operations in the next three to five years, according to a presentation at the Gartner Data and Analytics Summit in Sydney this week.
Data and analytics leaders must examine the potential business impact of these technology trends, and adjust business models accordingly—or risk losing competitive advantage to companies that do, Rita Sallam, research vice president at Gartner, said at the event and in a press release.
“The story of data and analytics keeps evolving, from supporting internal decision making to continuous intelligence, information products and appointing chief data officers,” Sallam said in the release. “It’s critical to gain a deeper understanding of the technology trends fueling that evolving story and prioritize them based on business value.”
With digital transformation efforts underway at most organizations, businesses are collecting more data than ever before, creating challenges but also major opportunities, Donald Feinberg, vice president and distinguished analyst at Gartner, said in the release. Large amounts of data, combined with powerful processing capabilities enabled by the cloud, make it possible to train and execute algorithms at the massive scale needed to realize the full potential of AI, he added.
“The size, complexity, distributed nature of data, speed of action and the continuous intelligence required by digital business means that rigid and centralized architectures and tools break down,” Feinberg said in the release. “The continued survival of any business will depend upon an agile, data-centric architecture that responds to the constant rate of change.”
Here are 10 data and analytics trends that data leaders and senior business leaders must explore in the coming years, according to Gartner:

1. Augmented analytics
Augmented analytics uses machine learning and AI techniques to change how analytics content is developed, consumed, and shared, according to the release.

February 21st, 2019|News|0 Comments

How to choose the right data visualization tools for your apps

Visualization frameworks have their place, but dedicated visualization tools are often a better way to create interactive, visual experiences in your applications

February 14th, 2019|News|0 Comments

Google announces Kubernetes Operator for Apache Spark

The beta release of “Spark Operator” allows native execution of Spark applications on Kubernetes clusters — no Hadoop or Mesos required

January 30th, 2019|News|0 Comments