Big data is helping online entrepreneurs address some of the most pressing obstacles that they have faced for years. Marketers have utilized deep learning technology to get a better understanding of their customers, so they can refine their creative and targeting strategies. However, there are less obvious applications of big data that are equally important. One example is the application of big data to expedite website loading times.
Heathcare kiosks, a home-cooked food marketplace, and a way for startups to earn interest on their funding topped our list of high-potential companies from Y Combinator’s Winter 2019 Demo Day 2. 88 startups launched on stage at the lauded accelerator, though some of the best skipped the stage as they’d already raised tons of money.
Be sure to check out our write-ups of all 85 startups from day 1 plus our top picks, as well as the full set from day 2.
MDM serves as the fuel that flows through the entire ecosystem of your business. It breaks down data silos and allows internal systems to work together.
When developers are looking at security issues in their programs, they can take one of several different approaches. Historically, though, the majority of developers have focused on a practice known as “shifting right.” To shift right, in security nomenclature, is all about identifying bugs and weaknesses after launch and then making adjustments to deal with those issues. As DevOps teams become more skilled, however, shifting right is becoming obsolete.
As enterprises adopt cloud-native technologies like containers to build their applications, the next question they often have to ask themselves is how they adapt their data storage and management practices to this new reality, too. One of the companies in this business is the four-year-old Portworx, which has managed to attract customers like Lufthansa Systems, GE Digital and HPE with its cloud-native storage and data-management platform for the Kubernetes container orchestration platform.
Consumers are producing more data than ever before. As the volume of data increases at an exponentially faster rate, companies must have the best scientists on staff to aid them.
Employment for Big Data Surges
There has been a 29% increase in data scientists over the past year. The trend is even more significant if you look at it over a longer time interval.
Big data has a lot of applications. While we usually focus on big data’s impact in the marketing and fitness industries, there are other sectors that are equally affected by them. Large-scale real estate companies and firms have been using big data for a long time, but now the technology is becoming more affordable and readily available. These big data trends are having the biggest impact on the real estate industry.
Mobile chipmaker Qualcomm has chalked up another small legal victory against Apple in another patent litigation suit.
A jury in a U.S. federal court in San Diego found Friday that Apple owes Qualcomm about $31M for infringing three patents, per Reuters.
As we reported earlier the San Diego patent suit relates to the power consumption and speed of boot-up times for iPhones sold between mid-2017 and late-2018.
Google, along with researchers at Stanford University and Brown University, have extended the open-source Snorkel tool to make it industrial-strength for enterprise machine learning. The work points the way to a path beyond traditional data integration.
While cloud data warehouses are often an important first step in digital transformation, enterprises need to follow some best practices to overcome implementation challenges and increase investment return.