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Content tagged with Big Data Analytics posted in March 2018
Neuroevolution Will Push AI Development to the Next Level
Commentary  |  3/30/2018
Next up for developing artificial intelligence systems is automated neural-net architecture search.
Facebook's Cambridge Analytica Trouble Highlights IT Data Privacy Concerns
News  |  3/29/2018
Facebook has lost billions in market value, been targeted for investigation by 37 states and the FTC, and many users are threatening to delete their accounts. It's past time for enterprise CIOs to stop ignoring customer data privacy concerns.
My Algorithm is Better than Yours
Commentary  |  3/28/2018
New tools allow business users -- not just data scientists -- to leverage algorithms and venture into machine learning. But, handle with care because the choice of bad data means bad results.
Enterprises Get AI Head Start with As-A-Service
News  |  3/27/2018
Enterprises are embracing artificial intelligence and it's component technologies -- machine learning, natural language processing/text analytics, and computer vision. But are they ready? Here's how AI-as-a-service may ease their entry into these new technologies.
8 Things to Consider Before Hopping on the Blockchain Train
Commentary  |  3/26/2018
While blockchain holds great promise for some applications, companies have to understand the various challenges.
A Different Take on Voice Interfaces, IBM Launches Watson Assistant
News  |  3/23/2018
Watson Assistant will be delivered via IBM partner devices such as electronics embedded in cars and apps branded by hotel companies. Beyond customer engagement and service, the real value to these partners will be in the data they collect about customers and how they use it to customize customer experience.
Donít Neglect Your Data in a Rush to the Cloud
Commentary  |  3/23/2018
Greg Hoffer, vice president of engineering at GlobalScape, says that sometimes customers get so caught up in the cloud's fast-and-easy mantra they don't fully think out the security implications for their data.
Real-Time Analytics is Spreading and Getting Easier
News  |  3/22/2018
Is your organization in production with real-time analytics and event stream processing? Are you doing a pilot of the technology? Here's a look at where the technology is today, along with some of the more popular use cases.
The Biggest Capital Asset: IoT & Augmented Reality
Commentary  |  3/22/2018
While machines represent large capital investments and demand support resources, a company's greatest asset could be the advanced technology that keeps those machines running efficiently
Big Data Tech Hadoop and Spark Get Slow Start in Enterprise
News  |  3/20/2018
There are plenty of success stories about Hadoop in the enterprise, but those may be the exception and not the rule. Gartner Research VP Merv Adrian provides a reality check on deployment rates, successes, and failures of big data technologies in the enterprise.
Digital Transformation Is Advancing
News  |  3/19/2018
Digital transformation is taking off across industries, although not all sectors are maturing at the same pace. A new Infosys report reveals the details of the key technology investments, goals and outcomes.
Beware the Dangers of 'Drive Thru' Analytics
Commentary  |  3/15/2018
Cutting corners isn't the path to analytics success. Data science requires an enterprise commitment.
Reshaping Skillsets in the Age of Analytics
Commentary  |  3/15/2018
Automation and greater involvement by business managers with the analytics team are just a couple of the changes that are in store for data science.
How Valuable Is Your Company's Data?
Commentary  |  3/14/2018
Organizations consider data one of their most valuable assets, but exactly, how much is that data worth? Most business leaders can't answer the question yet. But venture capitalists, financial analysts and board members increasingly want to know.
From Measurement to Insight: Put DevOps Metrics to Work
Commentary  |  3/14/2018
When you can measure the results of your DevOps program, that's where the magic happens.
7 Techniques for Successful Digital Transformation Initiatives
Commentary  |  3/13/2018
Seven techniques that will help create natural project checkpoints, stakeholder feedback loops, and system adjustments throughout your digital transformation initiative.
6 Ways to Get Users to Love Self-Service Analytics
News  |  3/12/2018
If your enterprise wants to spread self-service analytics throughout the organization, buying the platform or tool is just the first step. It's just as important to get people to actually use it. Here's how some successful companies are doing it.
The New Data Playbook: Automation, Mass Data Literacy
News  |  3/8/2018
How will enterprise organizations scale Agile data and analytics programs in the future? Gartner says trust, diversity, and data literacy all will contribute to mastering tomorrow's complexity.
Conversational AI is Ready for Prime Time
Commentary  |  3/6/2018
Don't lump the various types of AI-based technologies into one basket. There are differences among them, as a look at call center tech highlights.
DevOps Futures: SREs, Re-Skilling, and New-Ops
News  |  3/6/2018
It's time to ditch the phrase no-ops. DevOps gives IT the opportunity to expand their current skill sets in new roles and become better leaders by managing cross-functional teams. No, all we see are new-ops.
How Biased AI is Holding Us Back, and Two Things We Can Do About it
Commentary  |  3/5/2018
Like Hollywood and Washington, D.C., Silicon Valley and the tech world must step up to combat entrenched biases.
Why Operationalizing Analytics is So Difficult
Commentary  |  3/2/2018
Plenty of companies have plenty of data and plenty of analytics tools, but they fall short when it comes to converting analytics results into action.


2020 State of DevOps Report
2020 State of DevOps Report
Download this report today to learn more about the key tools and technologies being utilized, and how organizations deal with the cultural and process changes that DevOps brings. The report also examines the barriers organizations face, as well as the rewards from DevOps including faster application delivery, higher quality products, and quicker recovery from errors in production.
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