If you’re not sure how AI impacts your life, think about things like automatic fraud detection for your credit card, predictive maintenance for your vehicle or appliances, getting your packages to you sooner, driverless cars, smart home devices, and much more.

The list gets larger an becomes more integrated into our daily lives with every passing day.

Just days ago, Dataiku announced that it had received and investment of $100 million during its most recent round of funding.

The Company focuses on AI and machine learning to create Enterprise solutions for the large corporations that touch many parts of our lives.

Seven years since its inception, the company has over 300 customers including Schlumberger, GE Aviation, Sephora, Unilever, BNP Paribas, Premera Blue Cross, Kuka, and Santander.

Investing in this funding round was Tiger Global Management. Previous investors Battery Ventures, CapitalG, Dawn Capital, FirstMark Capital and ICONIQ also increased their stake in Dataiku.

“Our leadership in enterprise AI continues to attract world-class investors who understand that Dataiku’s solution and customer base are truly global and that we’re uniquely positioned to help businesses realize the untapped potential for AI to transform the enterprise,” said Florian Douetteau, co-founder and CEO of Dataiku.

“In a global business market rocked by the changes 2020 has brought, AI has proven to be a critical element of organizational success driving business growth in every major vertical market.”

The post AI Company Dataiku gets $100 Million in Funding appeared first on CitizenNewsWire.

As technology continues to evolve, including things like autonomous vehicles and drones, and become wide-spread, the need for higher bandwidth cellular and Wi-Fi connectivity will become increasingly important. Part of that solution is the emerging roll-out of 5G services. To aid in this push towards the future of wireless, Machine learning will play a key role.

Recognizing this need, National Science Foundation (NSF) has announced that it will provide funding to Intel for research and development in this arena.

“The wireless networks of the future need to support much higher requirements than what current wireless networks can deliver, and they also need to be secure and energy-efficient,” said Margaret Martonosi, assistant director for Computer and Information Science and Engineering. “That is why NSF and Intel have contributed $9 million to advance research activities addressing some of the most challenging issues in the development of future wireless systems.”

This is just the most recent development in the relationship between the NSF and Intel. The two have been working together and funding tech and engineering research for many years now.

“This fundamental, broad-based research on wireless-specific machine learning techniques enables new wireless architectures and systems for future applications.”

The post Tomorrow’s Wireless Networks to Rely on Machine Learning Research appeared first on CitizenNewsWire.