[Podcast] In the AI of the Beholder

Ideas about what constitutes “beauty” are complex, subjective, and by no means limited to physical appearances. Elusive though it is, everyone wants more of it. That means big business and increasingly, people harnessing algorithms to create their ideal selves in the digital and, sometimes, physical worlds. In this episode, we explore the popularity of beauty filters, and sit down with someone who’s convinced his software will show you just how to nip and tuck your way to a better life.

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How NASA is using AI to develop the Next Generation of Self-Driving Planetary Rovers

Mars perseverance

With each new generation of NASA’s Mars rovers, improvements in AI, machine learning and other advanced technologies continue to make them more autonomous as they traverse the Martian soil looking for clues about the history of Earth and our solar system.

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AI startup Razor Labs bypasses VC route, instead going public

Razor labs

AI startups based in Israel have had little difficulty raising venture funding. Some are now following the lead of their U.S. counterparts by going public. Among the first is industrial AI specialist Razor Labs, which also raised $36 million while launching an initial public offering

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AI World Executive Summit: Important to ask the right questions 

AI world executive summit

Of respondents at AI high-performing companies, 75% report that AI spending across business functions has increased because of the pandemic, according to the Global Survey on AI from McKinsey for 2020. These organizations are using AI to generate value, which is increasingly coming in the form of new revenue. Three experts discussed the implications of this growth with AI Trends in interviews in anticipation of the AI World Executive Summit: The Future of AI, to be held virtually on July 14, 2021.

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5 common ways companies use RPA to enhance Document Processing

Paper plane

With all the hype around robotic process automation (RPA), it can be helpful to remember that the vast majority of the data running through RPA automations originates or terminates with a document. In fact, I’d estimate that about 80% of RPA automations fall into this category.

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OpenAI is open for business, GPT-3 powers the Next generation of Apps

OpenAI Logo

OpenAI’s GPT-3 is well known in the machine learning world for their human like writing, where it is powering 300 applications, supporting GPT-3–powered search, conversation, text completion, and other advanced AI features through their API.  As reference, here is a shortlist of example OpenAI’s use cases in how developers and applications are using GPT-3.

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The pros and cons of Edge Computing

Edge computing, a process in which computing happens on local servers and devices “on the edge” of the network instead of on distant cloud data centers. Despite its growing popularity and accessibility, is edge computing an enduring solution for efficient and accurate data processing? Read some of the pros and cons.

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The fate of Feature Engineering: No longer necessary, or much easier?

Feature engineering

Feature engineering occupies a unique place in the realm of data science. For most supervised and unsupervised learning deployments (which comprise the majority of enterprise cognitive computing efforts), this process of determining which characteristics in training data are influential for achieving predictive modeling accuracy is the gatekeeper for unlocking the wonders of statistical Artificial Intelligence.

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Aible Scored Highest (4.5/5) for the AutoML Use Case in the 2021 Gartner Critical Capabilities Report for Cloud AI Developer Services

Aible in Gartner 2021

Aible, the pioneer in impact-optimized enterprise AI, has scored highest in the Automated Machine Learning (AutoML) services Use Case in Gartner’s 2021 “Critical Capabilities for Cloud AI Developer Services” report. In Gartner’s evaluation of 13 AutoML providers, Aible scored the highest in the AutoML Use Case.

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Tiger Global just closed one of the biggest venture funds ever, with $6.7 billion

Peloton bike

If you watch funding announcements as we do, you may have noticed something this year. There are a lot of mega-rounds coming together, and Tiger Global is involved in a notable number of them, often as the round’s co-lead. Reportedly in talks to co-lead a $300 million round in a five-year-old, AI chipmaker called Groq.

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Optimizing Machine Learning: MLOps and its significant benefits

Machine woman with orb

MLOps ensures effective lifecycle management of ML models. Machine learning operations (MLOps) is a procedure that has recently entered the dictionary of technology organizations. More or less, MLOps is a method of optimizing the work process of data science and machine learning teams. It’s like DevOps from numerous points of view, additionally focusing on automation, continuous processes for testing and delivery, and collaboration between teams.

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