Plus: How to build an inclusive AI, types of data that matter to retailers, 14 things about data storage, and much more.
With many more of us are now working from home or connected remotely, we need to think about the digital roadblocks that can delay work.
World Economic Forum
Creating AI that’s inclusive requires a full shift in mindset throughout the development process
When it comes to serving customers, data can help pinpoint needs — but it must be analyzed thoughtfully.
Improving these relationships is key to helping organizations navigate the turbulent marketplace of today.
When it comes to storing data, there is no one-size-fits-all solution, so understand the amount and type you have and why you need to store it.
We need to democratize data science and shift the paradigm from reactive to proactive data-driven decision-making.
Recognizing the problems that data volume and variety present, now is the time for the industry to embrace DataOps.
Why You Need a Data Fabric for Effective AI: The benefits beyond easing complexity for data stewards
5 Reasons Why Organic Data Is Healthy For A Data Science Model: Areas for training a strong ML model.
Big Tech & Their Favourite Deep Learning Techs: A particular school of thought they have in common
Update your email preferencesZaloni, Inc. PO Box 13351 Durham, North Carolina 27709 USA You received this email because you are subscribed to Marketing Information from Zaloni, Inc.
Spam Bot Link