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Thereís No Opting Out of the California Consumer Privacy Act
Commentary  |  12/11/2019
As the countdown to January continues, it's up to executive teams to ensure their companies are complying and preparing for what's coming.
Reflections on Tech in 2019
Slideshows  |  12/9/2019
We look at 2019's most popular content on InformationWeek and put perspective around the technology areas that took off in terms of innovation and adoption.
5 Reasons Why CDOs May Ride the Next Wave of Leadership
Commentary  |  12/6/2019
Given all they contribute to today's digital business landscape, chief data officers have a very real opportunity to become the CEOs of tomorrow.
10 Ways to Squeeze More Value from Your Digital Investments
Commentary  |  12/4/2019
There's no doubt that the pressure is on to transform and innovate. Here are some actions IT and business leaders can take to get the most out of their digital efforts.
Why DataOps is a Major Quality Trend for 2020
Commentary  |  12/2/2019
Take the DevOps concept a step further and see how DataOps can improve data quality and customer experiences.
GPUs Continue to Dominate the AI Accelerator Market for Now
Commentary  |  11/27/2019
As enterprises embark on AI and machine learning strategies, chip makers like NVIDIA, Intel and AMD are battling to become the standard hardware providers.
How Data Collaboration Solves Big Dataís Biggest Problems
Commentary  |  11/25/2019
Imagine the possibilities of combining data across markets and industries without the cost and expertise barriers of implementing traditional data sharing.
Enterprise Guide to Data Privacy
Commentary  |  11/22/2019
Enterprise organizations could be hit with heavy fines if they don't comply with laws (current and upcoming) to protect their customers. CIOs and IT leaders: Are you ready?
The Biggest Mistakes Made by Data Scientists
Commentary  |  11/22/2019
While the tools may change, the mistakes stay the same. Here are four common issues that IT leaders should be aware of when managing data science teams.
Businesses Arenít Ready for Californiaís Data Privacy Act
Commentary  |  11/20/2019
A year and a half after GDPR, California's own data privacy act will soon go into effect, but many businesses are unprepared. How can they get there?
When Planets Align: Edge Computingís Game-Changing Potential
Commentary  |  11/20/2019
Emerging technologies that leverage edge computing will take years -- potentially decades -- to emerge. The smart move is to wait for the hype to settle.
Watch Out: 7 Digital Disruptions for IT Leaders
News  |  11/18/2019
Here are seven digital disruptions that you may not see coming.
Equifax and FICO on Applying Machine Learning to Open Data
Commentary  |  11/15/2019
Credit rating organizations explore different approaches to understanding a flood of transaction information.
Why Businesses Should Adopt an AI Code of Ethics -- Now
Commentary  |  11/14/2019
AI has been abused as part of disinformation campaigns, accused of perpetuating biases, and criticized for overstepping privacy bounds. Let's address this.
How to Build an Optimal Machine Learning Team
Commentary  |  11/13/2019
An effective ML team is constantly evolving based on many different factors. Assess your specific needs and use cases before putting a team into action.
10 Data and Analytics Trends for 2020
News  |  11/12/2019
Data and analytics are permeating all parts of the digital enterprise. Here are the trends you need to watch in the years ahead.
The Hunt for the 'Goldilocks Zone' in Tech and Data Policy
Commentary  |  11/9/2019
During a preview of CES 2020, Gary Shapiro spoke about finding a balance between legislation and leeway for technology implementation.
Study Proposes 5 Primary Traits of Innovation Leaders
Commentary  |  11/8/2019
In a survey commissioned by Mastercard, Harvard Business Review drilled down on the key attributes that drive actions of innovators.
Neural Architecture Search Could Tune AIís Algorithmic Heart
Commentary  |  11/8/2019
If this approach gains traction, it could have a disruptive impact on the standard practice of data science.
Top-Paying U.S. Cities for Data Scientists and Data Analysts
Slideshows  |  11/5/2019
If you're a data scientist, you'll earn the most money on one of the coasts, but data analysts will do better looking for jobs in the center of the country.
How IT Supports the Data Science Operation
Commentary  |  11/4/2019
Data science and IT no longer are separate disciplines. Think of it as a partnership.
Forrester Analyst: Next Gen of Information Fabric Is Close
Commentary  |  11/1/2019
It is time to stop building monolithic systems and start weaving new data fabric that can manage information dynamically, according to Forrester's Michele Goetz.
Creative Ways to Get More Mileage from Your Data
Commentary  |  10/30/2019
Use analytics to your advantage to support your HR department, sales and marketing teams, team managers and ultimately your customers.
IBM Pitches Watson for Enterprise AI Woes
News  |  10/29/2019
IBM says that Watson can help enterprises struggling to get past the pilot phase with their AI programs.
NLP for Analytics: It's Not Just About Text
Commentary  |  10/29/2019
Text analytics has been the biggest use case for NLP, but now BI and analytics vendors are adding it to their products to make them easier to use.
Why Design Thinking Will Save Businesses From Themselves
Commentary  |  10/28/2019
What you'll learn about customers by incorporating design thinking will improve operations and make your bottom line much easier to achieve.
Your Cloud and Data Management Strategies are About to Collide
Commentary  |  10/24/2019
Companies are moving further into the cloud and undergoing data modernization. What some don't realize yet is that one strategy is better than two.
Beware the Pitfalls of Applying AI to Big Data
Commentary  |  10/24/2019
Decision makers should consider whether conclusions are influenced by shortcomings in the observable data and whether the algorithms properly address biases.
Intelligent Automation: A Step Ahead of AI
Commentary  |  10/21/2019
Organizations that use intelligent automation to amplify human potential will stay ahead in the game, while those that don't will lag.
SAS Targets Operationalizing AI with ModelOps
News  |  10/16/2019
Analytics stalwart SAS wants to help organizations get to that last mile of digital transformation by moving them from pilot projects to deployment to modeling and governance.
Enterprise Guide to Edge Computing
Commentary  |  10/15/2019
Here's a collection of information to help IT leaders and professionals learn more about edge computing and use cases for their enterprise organizations.
How to Secure Data Privacy While Growing Machine Learning
Commentary  |  10/11/2019
There are ways to increase user privacy while still preserving the accuracy of machine learning systems. Here are three practical options for CIOs.
Breaking Silos and Curating Data for Impactful AI
Commentary  |  10/7/2019
AI requires both high-quality data and an infrastructure that ensures data is always available. Without that foundation, we'll never reach the future.
Rethinking IT: Tech Investments that Drive Business Growth
News  |  10/3/2019
Making the right technology investments can double your growth rate compared to that of your less progressive peers, according to a new report from Accenture.
Six Inevitable Technologies and the Milestones They Unlock
Commentary  |  10/3/2019
Grand-scale technologies act as nodes of progress that spark continued innovation. Here are several that will continue to impact society.
A Path from Pilot to Machine Learning Production
News  |  10/2/2019
Getting machine learning from the pilot into production is a hot issue in 2019. MLOps is one of the ways enterprises are doing it.
IT Careers: 12 Job Skills in Demand for 2020
Slideshows  |  10/1/2019
Employers will likely be looking to fill these kinds of IT positions in the coming year, building out their teams' tech skills.
Top U.S. Businesses Call for More Government Regulation
Commentary  |  10/1/2019
So, what's the catch? There's a very real possibility that most states will develop their own data privacy laws, causing chaos that will benefit no one.
Talent Alert: Data Science Help is Coming
Commentary  |  9/27/2019
But will the flood of candidates solve your data problems? Here are a few issues to mull and tips on how to attract/retain data scientists in this hot market.
Open Source Gains Ground in the Enterprise
News  |  9/26/2019
You may not hear a lot of enterprise executives talking about it, but open source software is becoming a mainstay in big organizations.
Human Touch Needed to Balance Prospects and Fears of AI
Commentary  |  9/24/2019
Events held at Microsoft and Samsung in New York highlight the need for data scientists to maintain humanity in AI development.
Rethink Time and Data in Your Organization
Commentary  |  9/24/2019
Time series is a standard analysis, but advanced machine learning tools introduce statistical techniques for more accurate forecast models.
How the Chief Data Officer Role is Evolving
Commentary  |  9/23/2019
The CDO role continues to change with competitive pressures. Where are you on your journey and what do you need to do to get to the next level?
Have Just a Bit of Patience with 'Transformation'
Commentary  |  9/19/2019
Digital transformation, cloud adoption and AI seem to be taking longer than people expected. Why is that a surprise?
How Autonomous Systems are Impacting IT
Commentary  |  9/16/2019
Automation isn't new to IT, but autonomous systems are, which is why IT leaders and professionals have to think about the value they're delivering, again.
Cloudera Sets Agenda for Next Era Cloud Data Analytics
News  |  9/13/2019
As the dust clears from HPE's acquisition of MapR in the climax of the Hadoop story, Cloudera sets out the plan for an era of big data platforms in the cloud.
8 AI Trends in Today's Big Enterprise
News  |  9/11/2019
A new KPMG report provides an inside view into how big companies are investing in and deploying artificial intelligence and machine learning technology.
How to Choose the Right Analytics Skills
Commentary  |  9/10/2019
Just because an analyst hits the ground running does not mean that analyst has the ongoing breadth needed to solve every day analytics problems.
Enterprises, Small Business, Lead Machine Learning Activity
News  |  9/9/2019
Data science and machine learning are gaining more of a foothold in organizations of all sizes, but the largest of organizations have the advantage of more resources to invest.
Best Practices: Governing Data in Multi-Cloud Environments
Commentary  |  9/9/2019
Like most things in the world of data, creating and maintaining governance policies in a multi-cloud environment requires constant compromise and negotiation.
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