Daily AI Roundup: Biggest Machine Learning, Robotic And Automation Updates – March 10

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By AiT Analyst On Mar 11, 2022

This is your AI Daily Roundup today. We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions. We cover the role of AI Daily Roundup and its application in various industries and daily lives.

Building Reliable and Secure Fintech Systems in 2022

Is the data highlighting ad-funded piracy or showing it’s being tackled?

95 Percent of Retail Leaders Prioritize AI, but Only 40 Percent Feel Ready Due to Data Gaps

Nov 21, 2024

Baffle Announces Vector Database Protection to Enhance Data Security for GenAI Applications

Nov 21, 2024

H2O.ai Generative and Predictive AI Now Validated on the Dell AI Factory with NVIDIA

Nov 21, 2024

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It’s both. The data shows the scale of the problem while also acting as a tool to demonstrate the enforcement impact. For example, we help regulatory bodies reach out to brands to raise awareness of their ads funding piracy, and help these bodies understand the effectiveness of their outreach activities. If the data suggests it’s having little impact on persuading brands not to advertise on pirate websites and apps, they can adapt their outreach strategy. But if it shows it’s working and brand ads are disappearing from these pirate websites and apps, they can scale it and do more outreach.

Typeform Secures $135 Million In Series C Funding Led By Sofina

-Typeform, a conversational interaction platform, announced that it has raised $135 million in Series C funding led by Sofina. Returning investors including General Atlantic, Index Ventures, Point Nine Capital and Connect Ventures, as well as new investors Top Tier Capital Partners, GP Bullhound, Teamworthy Ventures and Trium Venture Partners, also participated in the round. This latest funding brings Typeform’s total investment to more than $187 million.

Applied AI Adoption: How to Get it Right in Your First Attempt

As the field of applied AI matures and there are more and more capabilities available to be used, it is often less a question of how to build powerful technology and more one of how to achieve a meaningful impact with that technology.

At the end of the day, AI is a tool after all.

It is a means to an end, not an end in it of itself. In the technology space, we care about the successful adoption and deployment of AI because of the innumerable problems it can solve. Yet, time and again we see companies, of all shapes and sizes, blindly invest in or deploy AI without a clear understanding of what problems they are looking to solve or the value they are trying to generate. This results in huge amounts of wasted time and money.

How AI Optimization Can Help Shape the Future of Healthcare

Sector to sector, the use of AI is evolving incredibly fast when it comes to augmenting processes, meeting consumer needs, and tackling complex business challenges. In the healthcare industry, building efficient and explainable AI without sacrificing accuracy and trust is key.

Who Benefits From Democratized Data Analytics?

Technology advancement is fundamentally an act of democratization–once-specialized capabilities become cheaper, simpler, and more accessible to all, fostering broad adoption and the development of creative new applications and solutions to long-standing problems.

[To share your insights with us, please write to sghosh@martechseries.com]

artificial intelligence (AI)Automation Daily AI Roundup Fintech human-system interactions machine learning Robotic robotic process automation