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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

Top 5 ways people are okay sharing data

Tom Merritt shares five ways companies can request data from their consumers–and actually get it.

January 28th, 2019|News|0 Comments

Using business intelligence tools to prevent team burnout

Since no business wants to leave money on the table, it’s tempting to try to squeeze as much productivity as possible out of your workforce to execute every campaign, programme, and project available.

January 23rd, 2019|News|0 Comments

MariaDB unifies its platform

With its new release, MariaDB is bringing its separate analytic and transaction offerings into a single platform. It’s a good first move that could benefit in the future with more intelligent automation.

January 16th, 2019|News|0 Comments

Podium Data becomes Qlik Data Catalyst

After last year’s acquisition of Podium Data by Qlik, the data catalog product has been re-branded and rid of its Hadoop technology dependencies.

January 15th, 2019|News|0 Comments