Artificial intelligence is quickly becoming a foundational technology for enterprise software development and startups have begun addressing a variety of issues around using AI to make software and processes much more efficient. To that end, we are delighted to announce that Jocelyn Goldfein, a Managing Director at Zetta Venture Partners will be joining on us a panel to discuss AI in the enterprise. It will take place at the TechCrunch Sessions: Enterprise show on September 5 at the Yerba Buena Center in San Francisco. It's not just startups that are involved in AI in the enterprise. Some of the biggest names in enterprise software including Salesforce Einstein, Adobe Sensei and IBM Watson have been addressing the need for AI to help solve the enterprise data glut.

In June 2002, Steven Spielberg premiered a new movie he had directed, Minority Report, based on a famous 1956 short story by the science fiction writer Philip K. Dick. Set in 2054 in a crime -free Washington, DC, the film stars Tom Cruise, who plays the head of Precrime--an elite police unit that arrests killers before they commit their crimes. The team has the authority to make its arrests based on the visions of three clairvoyant individuals who can see into the future. But soon Cruise is evading his own unit--in a city where everyone and everything is tracked--when the psychics predict he will commit a murder of his own. More than 15 years later, this approach to law enforcement happily seems far -fetched.

Manufacturing in the United States produces over 18% of the world's goods and employs over 8% of the US workforce. Data, Artificial Intelligence and Robotics are improving output and employee safety, while driving innovation in the supply chain and manufacturing processes. Some of the leaders driving the technology advancement will be hitting the stage to discuss advancements in manufacturing.

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In today's increasingly hyperconnected world, it's more important than ever to protect our privacy online. But the more information companies collect about us, the more difficult it becomes to protect, even if it's properly anonymized. To address this critical issue, we're excited to announce that we've worked with Google to make our differential privacy library publicly available through TensorFlow, the industry's leading open-source machine learning framework. So what is differential privacy, and why are we teaming up with the world's top technology firm to make it freely available? When we sign up for online services, they assure us that all of our information is "completely anonymous."

Check out the Strata Data and Artificial Intelligence conference series, which cover the topics and key issues discussed in this post. Whether you're a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. In a recent O'Reilly survey, we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills ("the sexiest job of the 21st century") hasn't dissipated. LinkedIn recently found that demand for data scientists in the US is "off the charts," and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.

If we've learned anything from Silicon Valley, it's to over-promise and under-deliver. And if we've learned anything else from Silicon Valley, it's that replacing humans with artificial intelligence is not nearly as easy as it sounds. Put these two tendencies together, and you get an awful lot of humans performing grunt work that tech companies previously wanted to automate away only to find they couldn't write algorithms that performed as well as any human could. The first examples that immediately jump to mind are content moderation on the major social networks, transcribing recordings from smart speakers, and Elon Musk's attempt to automate the Tesla assembly line only to admit "humans are underrated." Don't look now, but self-driving cars are a prime candidate to be the latest major "automation" technology that is performed not by a computer, but by a human you can't see.

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BENGALURU: The Central Board of Secondary Education (CBSE) had earlier announced the introduction of Artificial Intelligence (AI) as an elective for students in classes 9 to 12. The curriculum for the subject is now being developed from scratch by a team from IBM India along with members of its global team and other subject experts. To begin with, IBM will conduct a pilot project in 1,000 schools in Bengaluru, Delhi, Kolkata, Bhubaneswar, Hyderabad and Chennai, before finalising the curriculum and embedding it in the CBSE curriculum from the next academic year. The pilot is being launched in Delhi on Wednesday. The project will start with creating awareness for school principals, followed by a two-and-a half day training of teachers on the foundational skills for the subject.