Tag: big data
Can Retailers Trust Their Machine Learning Models?
As we inch closer to Black Friday and the start of the holiday buying extravaganza, retailers are putting the final touches on the demand forecasts they’re using to predict the mix of goods they’ll carry this winter. Read more…
In Search of Hyper-Personalized Customer Experiences
Most of us want first-class treatment when we deal with a company, whether it’s on the Web, over the phone, or in person. We want them to know who we are and what we’ve done, and anticipate what we will need next. In Read more…
Know Your Virome? The Reason Why AI Is Helping Our Health
In 1901, people discovered the first virus that infects humans: yellow fever. Since then, scientists have discovered numerous novel viruses and have estimated that there are 10 nonillion (1031 ) pathogens on planet Earth Read more…
Overcoming Data Integration Challenges to Unleash Massive Potential: Knowledge Graphs 101
Doing integrations in the storage layer is a bit like asking the first person you ever date to marry you. It’s not necessarily a bad idea, but it is risky and it requires a big upfront commitment. Like a hasty proposal Read more…
Developing Kafka Data Pipelines Just Got Easier
Developing data pipelines in Apache Kafka just got easier thanks to the launch of Stream Designer, a graphical design tool that is now available on Confluent Cloud. Confluent also used this week’s Kafka conference, dub Read more…
Snowflake Reflects on 10 Years Passed, Ponders 10 Years Ahead
When Snowflake Computing was founded 10 years ago, the big data market looked much different than it does today. Momentum was building behind something called Hadoop, while cloud computing was viewed with suspicion. Desp Read more…
Has Macrometa Cracked the Code for Global, Real-Time Data?
There are plenty of organizations trying to solve one tough problem: How do you combine real-time and historical data in a distributed context, and trust the results of your queries? Plenty of companies have tried to sol Read more…
Social Listening: The Sweet Spot of Food and Beverage Online Tracking
Remember the days when consumers registered their product thoughts and comments to the manufacturer by dialing an 800 toll-free number? The process was often a frustrating experience that included long hold times and spe Read more…
LinkedIn Donates Feature Store to Linux Foundation
LinkedIn today announced that its open source feature store, dubbed Feathr, is joining LF AI & Data, the Linux Foundation’s umbrella foundation for big data and AI projects. Feathr was originally developed at Li Read more…
How DataOps Strengthens Business Resilience and Agility
Agility is critical for any business looking to grow and remain relevant in today’s complicated industry landscape. Being able to quickly respond and reliably deliver actionable insights is vital for businesses — esp Read more…
The Cloud Is Great for Data, Except for Those Super High Costs
The cloud has revolutionized the fields of advanced analytics and AI, as well as IT as a whole. Companies now have access to practically limitless storage and compute resources for crunching massive datasets and training Read more…
Why AI Alone Won’t Solve Drug Discovery
Verseon is an AI-powered drug company--in theory, anyway. The Bay Area startup does use machine learning to help predict which combination of proteins and drug-like molecules will yield novel compounds to test in the lab Read more…
Cloud Migrations Negatively Impacting Data Estates, Capital One Says
We’re in the midst of a massive migration of data to the cloud at the moment, driven in large part by the promises of advanced analytics and AI and the competitive advantages they can bring. However, before getting thi Read more…
These 15 Data Fabrics Made the Cut in Forrester’s Wave
If you’re in the market for a data fabric, then you might be interested in a recent report from Forrester, which published a Wave report in June detailing the pros and cons of more than a dozen data fabrics offerings. Read more…
Swim Maintains a Steady State Amid Fast-Moving Data
Things move quickly in the world of real-time streaming. In some cases, companies want to track millions of events per second. Staying on top of these data volumes can be extremely challenging for traditional stateless c Read more…
Second Half 2022 Tech Predictions for Data and AI
As we emerge from halftime of the show that is the year 2022, it’s time to take stock of where we’ve come this year in big data, advanced analytics, and AI, and assess where we’re likely to go next. Based on whe Read more…
The History of Data Science: From Cave Paintings to Big Data
It is in the nature of human beings to want to make sense of the world around them. This has led to humans trying to organize things and think in a data-centric way from as early as prehistoric times. Data science is Read more…
What Is Categorical Data?
According to a 2020 Microstrategy survey, 94% of enterprises report data and data analytics are crucial to their growth strategy. And yet, surprisingly, as much as 73% of the data that enterprises collect is never used, Read more…
Data Is Everywhere, But Harvest Your Own for Peak AI Performance
The rapid proliferation of data marketplaces has made it easy for organizations to get their hands on third-party data. And pre-trained deep learning models are also readily available on the Internet. But just as plastic Read more…
Artificial Intelligence in AP Automation – A Look at What Really Works, and What Doesn’t
How the term "artificial intelligence" is defined and whether there can even be a canonical definition at all is currently a matter of debate in information technology, neuroscience, philosophy, and linguistics. Commonly Read more…
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