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Real-World Tools to Help Navigate a Data-Driven World
When one cute little source for data gets you thinking about the world of really big data.
Novartis Seeks Hidden Cures in Machine Learning, AI
Novartis' Global Drug Development has completed the first phase of a digital transformation that has enabled it to better leverage one of its best assets -- data.
Traditional ERP Falls into the Arms of Cloud
SAP and Oracle have been talking about the cloud for years, but it's no small task to move huge installed bases of on-premises software. New cloud moves show a new momentum.
Why Quantum Computing Should Be on Your Radar Now
Boston Consulting Group and Forrester are advising clients to get smart about quantum computing and start experimenting now so they can separate hype from reality.
IBM Bets On Private Cloud Data Platform
Assembling the pieces to create a modern platform for data management, data governance, and data science can be complex. IBM says it's done the heavy lifting with a private, on-premises cloud platform to do the work.
Data Science on a Budget: Audubon's Advanced Analytics
Over 100 years of crowdsourced data and machine learning help Audubon predict climate change's effect on where birds will live in the future. Here's how a tiny team of data scientists makes a big impact.
A Machine Infrastructure to Get Value from AI
A key to your success with AI is building out an infrastructure that will support today's apps but also the workloads and data volumes of the future.
Top Enterprises Eye Migrating Core Apps to the Public Cloud
Customer-facing giants find that innovation, agility and cost benefits outweigh the negatives. Will Verizon's migration inspire others to follow?
Big Data Platforms Evolve for Analytics, Machine Learning
Machine learning and advanced analytics are now the centerpiece for companies that got their start as Hadoop distributors.
How to Prepare for the Machine-Aided Future
More business processes and highly-specialized tasks are being targeted for automation with the goal of making people and companies more efficient. If you haven't considered how intelligent automation will affect your career and your company, and even if you have, following are some points to consider that may help you navigate the issue.
When Nations Vie for AI Supremacy
Countries, as well as companies, are vying for supremacy in the artificial intelligence market.
5 Common GDPR Misconceptions
A company's effort to comply with GDPR don't end on May 25. The work is ongoing, tied to a recognition of privacy as a fundamental right.
Experts from Across the IT Spectrum Share Insights from Interop ITX
[VIDEO] IT leaders and experts, including keynote speaker, Beth Niblock, CIO, City of Detroit, share highlights from their presentations at Interop ITX 2018 along with insights about the future of IT.
11 IT Leaders and Experts Share Highlights from Interop ITX
[VIDEO] If you missed Interop ITX or would like to relive it, we have you covered. We've compiled 11 interviews with IT leaders and experts who attended and spoke at Interop ITX 2018, including keynote speakers Sam Ramji, VP Product Management, Google Cloud and Joe Barkai, Consultant, Speaker, Author and Blogger.
Workforce Analytics Move Beyond HR
Workforce analytics have traditionally focused on HR's use of them when their value can actually have significant overall business impacts. Realizing this, more business leaders are demanding insights into workforce dynamics to unearth insights that weren't apparent before.
Interop ITX Reflections: Expert Advice, Predictions, and More
There was no shortage of expert advice and sage predictions as takeaways from last week's Interop ITX conference. Here are some examples.
The Future is About the Business, Not the Technology
There has been plenty of change throughout the evolution of information technology. Now it's time for the corporate world to catch up and reshape how they do business and serve their customers.
At Interop ITX: Everyone Into the AI Pool
AI and machine learning experts highlight how there is a place for many types of corporate and tech roles in an AI initiative.
10 Things You Should Know About Deep Learning
This type of machine learning is going to become increasingly important in analytics and enterprise applications.
Ethical Tech: Myth or Reality?
Technology innovation is accelerating and so are the impacts of technology on society. As machine intelligence gets baked into more products and services, as more human tasks become automated, and as more industries are disrupted, the tech industry needs to think differently. Here's why.
Five Traits to Look for in a Data Protection Officer
It's crucial for a data protection officer -- required under the EU's GDPR -- to have a enterprisewide view of an organization's stored data and how it is used, or not used.
Neuroevolution Will Push AI Development to the Next Level
Next up for developing artificial intelligence systems is automated neural-net architecture search.
Real-Time Analytics is Spreading and Getting Easier
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.
3 Myths About the Site Reliability Engineer, Debunked
As automation becomes a fact of life, newer roles, such as site reliability engineer, emerge. For IT pros looking for their next move, here's a little background about the role as well as some common misunderstandings about it.
Beware the Dangers of 'Drive Thru' Analytics
Cutting corners isn't the path to analytics success. Data science requires an enterprise commitment.
Reshaping Skillsets in the Age of Analytics
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.
The Evolution Away from Conversational User Interfaces
Those digital devices that get you through the day will get less chatty and more focused on working for you.
The New Data Playbook: Automation, Mass Data Literacy
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
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.
Outbrain Outgrows Initial Big Data Infrastructure, Migrates
Content discovery platform Outbrain launched its first Hadoop pilot about 5 years ago, on the free version of the technology, giving it the flexibility to experiment. But the company recently made some changes to update its big data program.
Don’t Lift and Shift Big Data Analytics, Lift and Optimize
Advancing through the digital era with a greater use of self-service analytics doesn't mean that you have to trash proven analytics tools and techniques.
Rethinking IT: Why Computer Scientists Should Care about Art, Chemistry and Biology
Career advice for computer scientists and IT professionals: Talk to, listen to, and work with your peers in a multi-disciplinary environment.
How to Begin Integrating AI into Data Center Operations
Data center automation is inevitable. Here's how to do it right from the beginning.
Avoid These Pitfalls to Get Maximum Value from Data Science
Data science techniques are getting better, cheaper, and easier to use. Even small and medium sized organizations can now tap these technologies. But, if you fail to properly introduce, support, and integrate data science capabilities, a lot of money can be wasted.
Ebates Migrates the Data Analytics Stack: SQL Server to Hadoop
Ebates, the business that provides discounts and incentives to customers of online retailers, needed to move from its SQL server to a system with more processing capacity. The Hadoop cluster it chose fit the bill and provided some unexpected benefits.
Taking the Brakes off the Internet of Things
If you get the sense that Internet of Things adoption is sluggish, consider that it is going through a normal process.
How AR/VR Analytics May Help Your Business
Alternative and virtual realities provide organizations with new opportunities to reimagine product demos, employee training and more. As the systems collect and generate data, there are opportunities to use the new streams in innovative ways.
The Future of Information Technology is Intelligence
Traditional IT has to make way for the intelligence-based business model.
Will Digital Transformation Create or Eliminate Enterprise IT Jobs?
So, the question arises: Is digital transformation good for the IT professional's career?
CDOs Prove Their Worth in an Analytics-Driven Business World
Research shows that chief data officers are helping their organizations turn data into dollars.
The Business Case for AI
For all of the attention that tools like Siri have generated, we're still only at the dawn of the artificial intelligence revolution.
AI: Here Today, Everywhere Tomorrow?
Lots of enterprises have a long way to go before they roll out AI-based applications. Where are you on the path to AI?
The Internet of Things: Still Lots for You to Learn
IT groups will need to provide architecture, data-mining tools and connectivity, while giving business groups the freedom to innovate on their own with the Internet of Things.
Chatbots: Changing the Nature of Human Interactions with Machines
Chatbots have established their place in the home and our personal lives; now watch what they can do in enterprise applications over the next few years.
AI Has a Foothold in Business, Now for the Next Steps
Everyone's talking about AI, but many companies have trouble getting their efforts off the ground. In a recent survey and brief, EY pinpoints the challenges and opportunities.
Is It Time for Your Organization to Invest in AI?
After decades of AI being viewed as a "future" concept it may be time for companies to invest real dollars for real applications.
MBA 2.0 - The Power of Combinatorial Tech Innovation
True innovation often isn't about leveraging a single technology but making good use of multiple technologies in combination.
No Luck Recruiting AI Talent? You’re not Doing it Right
Unless you can compete on salary with the likes Google and Facebook, fill out your artificial intelligence and machine learning teams using alternative approaches.
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2018 State of the Cloud
Cloud adoption is growing, but how are organizations taking advantage of it? Interop ITX and InformationWeek surveyed technology decision-makers to find out, read this report to discover what they had to say!
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