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Latest Content tagged with Big Data Analytics
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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.
4 Ways Companies Impede Their Analytics Efforts
Commentary  |  2/28/2018
Consider these four barriers to success when moving forward with your data analytics initiative.
Setting up Your OT and Data Teams for Success
Commentary  |  2/26/2018
Organizations implementing the Industrial Internet of Things can't burden data scientists with cleaning up huge volumes of dirty data.
Donít Lift and Shift Big Data Analytics, Lift and Optimize
Commentary  |  2/26/2018
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
Commentary  |  2/23/2018
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
News  |  2/21/2018
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
Commentary  |  2/21/2018
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.
Unlock the Value: From Data Quality to Artificial Intelligence
Commentary  |  2/20/2018
Data quality, data privacy, and advanced technologies such as AI, machine learning, neural networks, and more, are of top concern to data analytics pros and IT managers, says Karen Lopez, Data & Analytics Track Chair for Interop ITX 2018.
5 Reasons Data Scientists Should Adopt DevOps Practices
Slideshows  |  2/19/2018
Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production. DevOps has promoted more collaboration between developers and IT operations. Data scientists and data science teams face similar challenges, which DevOps concepts can help address.
Overdue Notice: Data Gets the Attention it has Long Deserved
Commentary  |  2/16/2018
Senior executives who have been making hollow promises about embracing data-driven strategies need to be convinced that now is the time for real action. Here are some ways that data professionals can gain the support they need.
5 Tech Trends for the Enterprise in 2018
News  |  2/15/2018
The Accenture Vision 2018 report has identified five trends for CIOs and other executives for the year ahead, including citizen AI, extended reality, and data veracity.
For IT in 2018, Think Change and Change Again
Commentary  |  2/15/2018
Even with the ongoing new developments in core technologies, IT organizations are facing dramatic changes in how they work in 2018 as they embrace new business concepts and strategies.
Cisco Report: A Story of Cloud Endings and Beginnings
Commentary  |  2/14/2018
While some aspects of the cloud, such as migrations, are rapidly coming to a close, new avenues are beginning to open.
Ebates Migrates the Data Analytics Stack: SQL Server to Hadoop
News  |  2/14/2018
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
Commentary  |  2/14/2018
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
Slideshows  |  2/13/2018
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
Commentary  |  2/12/2018
Traditional IT has to make way for the intelligence-based business model.
Train Today's Workforce for Tomorrow's Tech
Commentary  |  2/12/2018
CEOs are investing more in advanced technologies such as AI, but they aren't planning to invest in retraining their workforces for this technology. A new report from Accenture recommends taking a different approach.
Careers in 2018: Tips from a Top Analytics Recruiter
News  |  2/8/2018
Top quantitative executive recruiter Linda Burtch of Burtchworks provides insight into how to keep yourself competitive in data science, business intelligence, and other analytics-related careers. Here's how to get ready for a future of new technology, including AI, natural language processing, and IoT.
Your Analytics Program is Not Ready for Machine Learning
News  |  2/6/2018
If you are like most organizations, your analytics program is not ready for advanced analytics technologies such as machine learning. Here are a few steps to take to get you closer, or a way you can leapfrog the work to reap the benefits now.
Will Digital Transformation Create or Eliminate Enterprise IT Jobs?
Commentary  |  2/5/2018
So, the question arises: Is digital transformation good for the IT professional's career?
Making AI Safe for Civilized Society
Commentary  |  2/2/2018
There are plenty of concerns about the safety of artificial intelligence, and it's up to humans to set the standards for safe uses of the technology.
5 Keys to Asking Better Questions of Data Scientists
Slideshows  |  2/1/2018
Some enterprises struggle to drive business value from data science efforts because the business and data scientists are not communicating or collaborating well. Here are five things you can do to improve the cross-functional relationships and ROI.
Targeted Advertising Triggers Age Discrimination Law Suit
Commentary  |  2/1/2018
Employers can use social media services and demographic data to target their employment ads to reach only people of a certain age. But is that ethical or even legal?
CDOs Prove Their Worth in an Analytics-Driven Business World
News  |  1/31/2018
Research shows that chief data officers are helping their organizations turn data into dollars.
Disasters: Tech to Map Human Behavior in Crises
News  |  1/31/2018
With the rise in attacks on stadiums, airports, and concerts, along with the increased severity of natural disasters such as hurricanes and floods, researchers at Embry-Riddle are studying how humans behave on the worst days of their lives.
The Business Case for AI
Commentary  |  1/31/2018
For all of the attention that tools like Siri have generated, we're still only at the dawn of the artificial intelligence revolution.
Analytic Systems are No Good Unless They Are CRAP
Commentary  |  1/30/2018
If you are creating an analytics system, make sure you you pay attention to these four words -- Creative, Responsive, Adaptable, and Productivity.
Dev and Some Ops: Reliving the Clear Fad of the 90s
Commentary  |  1/29/2018
Don't treat DevOps as a fad by failing to bring everyone in operations on board.
AI: Here Today, Everywhere Tomorrow?
Commentary  |  1/26/2018
Lots of enterprises have a long way to go before they roll out AI-based applications. Where are you on the path to AI?
Public APIs: Advice for a Producer
Commentary  |  1/26/2018
If your company is exploring the possibility of sharing internal data through public APIs, here are some considerations that you should address.
Dev and Security Adjustments to Prepare for GDPR
Commentary  |  1/25/2018
Adoption of DevOps can help organizations comply with GDPR and other privacy standards by building security into software from the start.
Affective Analytics and the Human Emotional Experience
Commentary  |  1/24/2018
Whether you are happy, grumpy, excited, or sad, a computer wants to know and can initiate affective analytics.
4 Ways to Improve Data Storytelling
Commentary  |  1/23/2018
Data storytelling can help organizations convey the message of data to customers, employees, shareholders, and other audiences. Here are a few ways to do it more effectively.
Use IoT to Accelerate Digital Transformation
Commentary  |  1/18/2018
The Internet of Things can drive change in an organization, providing data into a wide range of operational activities. But that change can require integrating that data into the systems used for key decisions.
From Buzzword TO a New World of Computing
Commentary  |  1/18/2018
Somewhere in the not-too-distant future one of today's hottest buzzwords -- AI, big data, or even analytics -- will be absorbed by another.
How Mobile Ordering and Delivery Services Change Analytics
Commentary  |  1/17/2018
Businesses are leveraging the data gathered through mobile ordering and delivery. Here's how.
Big Data, Analytics, and Machine Learning: Changing Insurance
Commentary  |  1/16/2018
The evolution of analytics and machine learning are shaping the industry's future, mitigating risk, improving business, and helping develop types of policies that individuals and businesses need, even before they know they do.
IoT, Analytics Help Food Retailers, Distributors Reduce Spoilage
Commentary  |  1/15/2018
Food production, distribution, and retail operations usually run on thin margins. Reducing food spoilage and waste can increase profitability. Here's how IoT and Analytics can help.
AI Begins to Infiltrate the Enterprise
News  |  1/15/2018
Enterprise adoption of AI is slow today, but experts expect it to increase very rapidly. So far, tech giants are leading the charge.
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