Commentary - Content posted in February 2017 - InformationWeek
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Commentary
Content posted in February 2017
How I Pulled Myself Out of the Waterfall
Commentary  |  2/28/2017
Mark Thiele hates waterfalls. Not the ones found in nature, of course, but the traditional, sequential method of software development known as the waterfall model, in which a project flows downhill from one group to another in slow, rigid stages.
Three Major Trends Shaping the Future of Machine Learning
Commentary  |  2/28/2017
Many new machine learning technologies, architectures, and algorithms being proposed, but here are three macro trends that will become game changers in ML.
Why Marketing Is So Smart, Yet So Dumb
Commentary  |  2/27/2017
Marketing analytics has evolved with the increase in volumes of customer data. But can this increase in data really help us get a full view of the consumers?
How to Convince Reluctant Admins to Embrace Cloud
Commentary  |  2/27/2017
The anti-cloud grew is still out there. Here are some helpful tips to show them how the cloud has evolved and why it might be right for your organization.
Three Little Words For Payday: Big, Data, DevOps
Commentary  |  2/24/2017
Recruiting firm Randstad's annual salary survey shows data pros are in the upper stratosphere, and DevOps experience is starting to justify a premium.
How Cybersecurity Analytics Are Evolving
Commentary  |  2/23/2017
Cyber security continues to be an arms race as organizations race to protect against new kinds of attacks. Here's how analytics IS making a difference.
What You Need To Know About OpenStack
Commentary  |  2/23/2017
OpenStack has evolved to a point where it is producing benefits for IT organizations and service providers, but also is surrounded by myths.
Top 10 Must Have Self-Service BI Governance Capabilities
Commentary  |  2/23/2017
If self-service business intelligence initiatives are on your agenda, follow these 10 best practices for ensuring proper governance.
Algorithms' Dark Side: Embedding Bias into Code
Commentary  |  2/22/2017
Do algorithms and AI eliminate bias or do they encode the biases of models? New work on AI policies is designed to shine the light on the black box of model design and use.
Product Management Should Be At The Core Of Every Company
Commentary  |  2/22/2017
At the heart of product management is the ability to discover the customers' pain and then leading the way in solving that pain in the best way possible.
Survey Shows US CIOs Getting A GDPR Headache
Commentary  |  2/21/2017
US companies that don't have a presence in Europe still have to be sure that they comply with the EU's privacy laws regarding personally identifiable data.
How To Choose Between Virtual Desktop Deployment Models
Commentary  |  2/21/2017
Many companies are turning to virtual desktops in the cloud to support end user computing, and they have multiple models to choose from.
Guiding Principles For Closing The Cloud Gap
Commentary  |  2/20/2017
The portion of your IT portfolio that hasn't yet moved to the cloud represents your "cloud gap."
CompTIA Adds Cyber Security Analytics Certification
Commentary  |  2/20/2017
Career prospects are hot for both data analytics pros and cyber security specialists. Now CompTIA IS introducing a certification that combines these specialities to apply analytics to cyber security.
What's Cognitive Computing, And What's That Noise Overhead?
Commentary  |  2/17/2017
Soon after an IBM round table on cognitive computing in San Francisco, the need for it at that location became abundantly clear.
What A Chief Analytics Officer Really Does
Commentary  |  2/17/2017
There has been plenty of talk about the need for a chief analytics officer or chief data officer. But do you ever wonder what they do for a living?
Your Big Data Strategy Needs DevOps
Commentary  |  2/16/2017
Many big data analytics teams choose to not use DevOps methodologies, but there are real benefits to applying DevOps concepts to those big data initiatives.
How Third Parties Can Hurt Your Marketing Analytics
Commentary  |  2/16/2017
Are your digital marketers creating gaps in customer privacy? They could be unless they vet tags and third-party app access. Here's how to do the vetting.
IoT And Privacy: Turning Pitfalls Into Benefits
Commentary  |  2/16/2017
The Internet of Things (IoT) offers a host of conveniences and automation to both business and consumers. But new privacy and compliance responsibilities are part of this package deal. Here's how to make the most of it.
IT Budget Staying The Same? Here’s What To Do Differently In 2017
Commentary  |  2/15/2017
If your IT budget is staying flat, there are techniques for getting more bang from the same bucks in a new age of IT.
How Cross-Functional IT Teams Can Work Toward A Common Goal
Commentary  |  2/15/2017
Breaking down the silos is critical in an enterprise IT strategy, and there are ways to get different IT and business groups on the same team.
HIMSS: Harnessing Analytics for Healthcare
Commentary  |  2/15/2017
Healthcare organizations have already provided some of the most interesting and promising applications of advanced analytics use cases. The HIMSS 2017 event next week in Orlando will provide a window into what's next.
Postmodern Analytics: The Emergence of 'Alternative Facts'
Commentary  |  2/14/2017
If we observe competing truth claims in analytic methods, tools or work products, then are the truths absolute or relative?
Why Digitization Requires A New IT Operating Model
Commentary  |  2/14/2017
As enterprises advance in the world of digital business, the old project-based IT model is due for change.
Is Outsourcing The Key To Data Analytics Success?
Commentary  |  2/14/2017
If the IT group isn't up to the task of implementing analytics, it's worth checking out the possibilities of outsourced analytics.
Coding: In Search of Imperfection
Commentary  |  2/13/2017
Learn why bad code is generally much better than no code all, except maybe in matters of life and death.
Agile Development And The Red Line: At A Point Of No Return
Commentary  |  2/10/2017
Red line (noun): A safety limit. The furthest limit of what will be tolerated or considered safe. A point beyond which a person or group is not prepared to negotiate. The point of no return.
Untangling (And Understanding) DevOps
Commentary  |  2/10/2017
Everybody's talking about DevOps, but how many really understand how to build or deploy an effective strategy?
Disaster Recovery In The Cloud: Key Considerations
Commentary  |  2/9/2017
The cloud offers many backup options for enterprises. Here are some factors to weigh.
IoT And Big Data: Success Comes Down To A Solid Strategy
Commentary  |  2/9/2017
A Verizon report highlights how big data complexity and a shortage of data science talent are hurdles for an IoT implementation, but we also have to remember the key best practice of having a business goal as part of any analytics initiative.
Are Your Home Appliances Analyzing You?
Commentary  |  2/8/2017
Home appliance manufacturers have latched onto the promise of IoT, adding smart sensors to help consumers track their appliances. Will the data generated and the analytics enabled end up changing how appliances are made in the future?
Self-Service Analytics Are A Necessity
Commentary  |  2/8/2017
Users want answers to burning questions, but IT and the data team can't tackle them all at once. Self-service analytics help organizations triage problem-solving by providing many of the insights business users need.
Microsoft Earnings Report Can't Disguise Amazon Cloud Size
Commentary  |  2/8/2017
Google and Microsoft are sometimes portrayed as overtaking Amazon Web Services; better read between the lines.
Analytics Used to Detect Online Harassment
Commentary  |  2/7/2017
In conjunction with Internet Safety Day, the Wikimedia Foundation has released two new public data sets of online harassment in Wikipedia edits. The Foundation leveraged machine learning to detect harassment.
IT Transformation Checklist: 10 Steps to Success
Commentary  |  2/7/2017
When launching a IT transformation project, there are some steps you definitely don't want to take, and 10 steps that could lead to success.
From “Reluctant Accountant” To IT Dream Job: 5 Career Lessons
Commentary  |  2/6/2017
Curiosity, connections, and a search for the right fit are some of the keys to working your way into the job you really want.
Analytics Drive Virtual Reality Game Development
Commentary  |  2/6/2017
Developing virtual reality games presents more and different challenges than developing conventional video games. Here's how data analytics is helping the process.
4 Trends In 2017 That Every Developer Needs To Understand
Commentary  |  2/3/2017
Developers need to be ready for the opportunities that quantum computing, big data, and mixed reality might bring to all computing sectors, including commercial computing, in 2017.
Cognitive Security Tames the Big Data Monster
Commentary  |  2/3/2017
Sometimes data can get so big, It's monstrous and ceases to be useful. Cognitive security helps measure what matters, allowing analysts to focus resources where they count.
Big Data Facts Highlight Its Trendsetting Surge
Commentary  |  2/2/2017
As big data takes hold in the business world, the cloud enables small and mid-sized businesses to take advantage of the concept.
Time for an Analytics Show and Tell
Commentary  |  2/2/2017
The business-analytics disconnect remains a hurdle for adoption of data-driven decision making. Maybe it's time for the analytics team to hit the road and show employees what data can do for them.
Data-Driven Effectiveness Is A Team Sport
Commentary  |  2/2/2017
Smart people and the best technology aren't enough to drive a data-driven culture. It's all about people and collaboration, which is easier said than done. If you're serious about affecting change, consider these best practices.
Why You Should Invest in Your Analytics Capabilities
Commentary  |  2/1/2017
Analytics are strategic, can create value, and should be earmarked for increased investment. Now is not the time for cuts.
What To Consider When Hiring Data Science Talent
Commentary  |  2/1/2017
Dealing with the data science talent crunch isn't just about competing for talent; it also requires the right data science strategy to help the analytics team be effective and efficient.


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