Mary E. Shacklett, TechRepublic

Mary E. Shacklett

TechRepublic

Chicago, IL, United States

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Recent:
  • Unknown
Past:
  • TechRepublic
  • InformationWeek
  • CIO.com
  • CSOonline
  • CRM
  • Tech Pro Research

Past articles by Mary:

IoT standards: The US government must create them, and businesses will follow

The Internet of Things is still in its Wild West phase of development. Standardization is necessary to ensure safety and easier integration. → Read More

Analytics in 2021: Work with the CFO to get data integration in finance

CFOs can be slow to adopt new technologies out of fear. But you can help them understand the benefits of implementation. → Read More

Ways to Make IT a Profit Center

While the idea of monetizing IT and converting it into a profit center is attractive, there are plenty of elements that should be thought through before deciding to go forward. → Read More

Digital transformation: 3 things your organization can't afford to overlook

A basic digitization of paper records is a good start, but it can cause serious gaps in your data. Here are three things that can be missed in a digital transformation. → Read More

7 big data goals for 2021: AI, DevOps, hybrid cloud, and more

If you're thinking about your big data for next year, here are some goals you should have in mind. → Read More

Financial services companies are starting to use the cloud for big data and AI processing

The financial sector has historically been nervous about allowing its data to go off premises, making it harder to scale. Now it's allowing for some data in the cloud to speed AI and data management. → Read More

AI decision automation: Where it works, and where it doesn't

Some companies are using AI for end-to-end decision-making, but not all decisions can be made without human intervention. Here are some real-world cases. → Read More

Why AI makes life insurance decisions at this company

While most companies prefer to make final decisions on their own, Bestow lets the AI determine eligibility for a much faster process. → Read More

4 steps for fine-tuning your data visuals for users

Knowing what your users might need from your data is important. It can help you make sure they have the correct info. → Read More

You can use RPA to help with data cleansing for analytics

This tool doesn't work for big data, but it can help you get your data ready to be analyzed. Here's why. → Read More

Can AI replace human decision-making? Most companies say no, but it can help

Most CIOs aren't comfortable with letting the AI take over decisions. But it does help them make better, less biased ones. → Read More

5 ways to demystify big data when talking to users

End users and IT have different vocabularies. Helping users understand the project is important in helping them get the most of their big data. → Read More

Are analytics dashboards dead? Here's how to bring them back to life

Analytics dashboards haven't really evolved, but there are ways to help them become more useful to end users. → Read More

Credit unions are using video to maintain connection with their members

The pandemic has forced most businesses to adapt in unexpected ways. Credit unions want to maintain that face-to-face communication. → Read More

How AI can help boost alternative and renewable energy use

The challenge of inconsistent flow of wind and solar energy is getting help from artificial intelligence, helping companies predict and adapt, saving them money. → Read More

Big data and DevOps: No longer separate silos, and that's a good thing

The pandemic has caused major shifts in the way IT and big data work. Now they may be working together for better outcomes. → Read More

Are you a big data laggard? Here's how to catch up

If your company has gotten behind in its big data management, there are ways to get current using automation. → Read More

Data streaming: The best use cases and why they work

Could IoT sensors, geo-tracking, customer interaction, and other data streaming services help your bottom line? Learn from these successful uses. → Read More

Big data: How wide should your lens be? It depends on your use

How much data you have coming into your system can make a huge difference in your storage, bandwidth, and budget. Consider narrowing your aperture. → Read More

Lossless or lossy: If you have big data, know what type of compression to use

The different types of compression can have a huge effect on your big data transfers. Knowing what types to use is important for your business. → Read More