Ask a developer to name the top ten most exciting types of apps to build, and…
Digitalization has been a popular topic in business for years. No matter the industry, digital transformation…
If there was ever any doubt about the need for data and artificial intelligence (AI) –…
Since about 2000, when growth in and use of the internet exploded and began growing year…
With open banking, developers can integrate financial data from multiple institutions within the same application or share financial data between applications more easily.
Successful digital transformation initiatives include powerful AI and machine learning techniques to process and analyze large volumes of data across the enterprise.
New tech jobs require workers skilled in the use of technologies and able to handle the complexities and interconnectedness of today’s world.
Ultimately, real-time data analytics projects are most successful when they feature partnerships between the technology and business sides.
While many businesses use low code for specific tactical purposes, companies also should view low code from a more strategic perspective.
To extract full value from amassed data, organizations need to cultivate and empower a data-driven company culture that starts with a commitment from the C-suite and seeks to empower every employee with accessible data access.
One of the reasons databases can be containerized is that many now have the capability to function with data and compute separately to accommodate shared cloud storage architectures.
IoT-as-a-Service allows companies to quickly leverage the full power of connected devices, incorporate new technology, and speed the time to value.
As companies increasingly rely on data to inform business decisions, data hygiene is essential to truly offer an advantage in today's landscape.
Earlier entrants are getting a head start on reaping the benefits of edge computing and they are providing roadmaps and lessons that will benefit everyone across the board.
Even the most advanced analytics tools remain useless if they’re not fed a complete, well-governed set of user data.
Dynaboard allows users to interact with uploaded models in real time to assess their quality and permits the collection of additional metrics such as memory use, throughput, and robustness.
The data onboarding process must be improved and simplified to keep up with exponential data growth and rapid development of new SaaS products.