As the world slowly transitions to a post-covid landscape, organizations are looking at what the "new normal" is shaping up to be. To support organizations in navigating through new challenges and a rapidly evolving big data ecosystem, Big Data Quarterly presents 2023's "Big Data 75," a list of companies driving innovation and expanding what is possible in terms of collecting, storing, and extracting value from data.
Read More
My fascination with AI began in 2009, when the technology was yet to gain mainstream traction. Today, the recent ChatGPT boom has made AI a normal topic of conversation, and there is no denying that it has become an integral part of our daily lives. From personalized social media recommendations to autonomous vehicles, many more people are aware of AI's potential to enhance our quality of life.
Read More
The boom in generative AI interest serves as a visible tipping point in the yearslong journey of the enterprise embracing the power of data interaction through natural language processing (NLP). In recent years, NLP has undergone significant changes that have made it increasingly easier for users at all skill levels to handle and explore data without being a data scientist.
Read More
For more and more organizations, real time is not only the right time—it's the only time that matters. No longer can decision makers afford to only understand the material events affecting their businesses a month, a day, or even just a few hours after the fact. They need a sense of what is happening in the moment to be able to predict and adjust for events that are arising. The value of real-time data "is that it provides needed information to accelerate business insights so teams can make better informed decisions and avoid the issues around using older data," said Tarun Chopra, vice president of product management for data and AI at IBM.
Read More