Artificial intelligence (AI) is not only affecting industries like business and healthcare. It is also playing an increasing role in the creative industries by ushering in a new era of AI-generated art. AI technologies and tools are often widely accessible to anyone, which is helping to create an entirely new generation of artists. We often […].
Category: business – Page 118
The Worst AI Advice You’ll Ever Hear
Facebook (now Meta) popularized the Silicon Valley ethos with the saying “Move fast and break things”. This approach might have worked when disrupting the social media business, but it’s causing all sorts of problems for them as well as other major AI players. Breaking things and moving fast might be the reason why so many AI projects are failing. According to an MIT study, over 85% of AI projects fail to deliver their stated objectives, and 70% of data science projects never make it to fruition. Clearly moving fast and breaking things doesn’t work if you’re not getting closer to success.
There’s a difference between Iterating to Success and Breaking Things.
The oft-cited Silicon Valley ethos of “Move fast and break things” isn’t working that well for AI.
Machine learning algorithm predicts how to get the most out of electric vehicle batteries
Researchers have developed a machine learning algorithm that could help reduce charging times and prolong battery life in electric vehicles by predicting how different driving patterns affect battery performance, improving safety and reliability.
The researchers, from the University of Cambridge, say their algorithm could help drivers, manufacturers and businesses get the most out of the batteries that power electric vehicles by suggesting routes and driving patterns that minimize battery degradation and charging times.
The team developed a non-invasive way to probe batteries and get a holistic view of battery health. These results were then fed into a machine learning algorithm that can predict how different driving patterns will affect the future health of the battery.
Customer retention challenges? This company can help with ‘multidimensional’ data listening
California-based StepFunction, which helps enterprises improve customer retention rate, has raised $5 million.
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Modern-day software-as-a-service (SaaS) enterprises are racing to acquire new users and convert them into paying customers. The rush is great for the industry, but it has also left many organizations looking at only half of the picture.
Case in point: The extensive focus on gaining new paying customers but not so much on post-sale constructs — including customer success, customer care and professional services — could not only improve customer retention but also help grow the business at the same time.
U.S. officials order Nvidia to halt sales of top AI chips to China
Aug 31 (Reuters) — Chip designer Nvidia Corp (NVDA.O) said on Wednesday that U.S. officials told it to stop exporting two top computing chips for artificial intelligence work to China, a move that could cripple Chinese firms’ ability to carry out advanced work like image recognition and hamper Nvidia’s business in China.
Nvidia shares fell 6.6% after hours. The company said the ban, which affects its A100 and H100 chips designed to speed up machine learning tasks, could interfere with completion of developing the H100, the flagship chip Nvidia announced this year.
Shares of Nvidia rival Advanced Micro Devices Inc (AMD.O) fell 3.7% after hours. An AMD spokesman told Reuters the company had received new license requirements that will stop its MI250 artificial intelligence chips from being exported to China but it believes its MI100 chips will not be affected. AMD said it does not believe the new rules will have a material impact on its business.
A database containing 800 million Chinese faces and vehicle license plates leaked
Millions of faces and car license plates were stored in a sizable Chinese database that was publicly accessible for months before it was silently removed in August.
A tech business called Xinai Electronics with headquarters in Hangzhou on China’s east coast is the owner of the disclosed data. In China, the firm creates systems for regulating entry for people and cars to workplaces, schools, construction sites, and parking lots. Its website boasts the use of facial recognition for a variety of uses beyond building access, including personnel management, such as payroll, monitoring employee attendance and performance, while its cloud-based vehicle license plate recognition system enables drivers to pay for parking in unattended garages that are managed by staff remotely.
In addition to other personal information like the person’s name, age, and sex, the database also included links to high-resolution photos of faces, including those of construction workers entering construction sites and office visitors checking in. Resident ID numbers are China’s equivalent of national identity cards. The database also contained information on the license plates of vehicles that were captured by Xinai cameras at parking lots, driveways, and other workplace entryways.
Winning With AI
Facebook (now Meta) popularized the Silicon Valley ethos with the saying “Move fast and break things”. This approach might have worked when disrupting the social media business, but it’s causing all sorts of problems for them as well as other major AI players. Breaking things and moving fast might be the reason why so many AI projects are failing. According to an MIT study, over 85% of AI projects fail to deliver their stated objectives, and 70% of data science projects never make it to fruition. Clearly moving fast and breaking things doesn’t work if you’re not getting closer to success.
There’s a difference between Iterating to Success and Breaking Things.
Early AI winners align organizational and business strategies to build value and manage risk.
A Case Study For The Industry: LG Investing In Metaverse
As the world increasingly embraces Web3, corporations are turning to metaverse applications to stay ahead of the curve. Based on Verified Market Research, the Metaverse market is anticipated to expand at a CAGR of 39.1 percent from 2022 to 2030, reaching USD 824.53 Billion in 2020 and USD 27.21 Billion in 2020. This is due to the increasing demand for AR/VR content and gaming and the need for more realistic and interactive training simulations.
These startups show Proof of Concept with a working product and clear value proposition for businesses and consumers.
● Launch a corporate accelerator: Another way to increase your exposure to the Metaverse is to launch a corporate accelerator. This will give you access to a broader range of startups and help you build a more diverse portfolio. In addition, it will allow you to offer mentorship and resources to the startups you invest in.
● Develop a clear investment strategy: It is also important to develop a clear investment strategy. This means knowing what industries you want to be involved in and what types of companies you want to invest in. A clear strategy can better decision which startups to invest in and how to support them best. For example, suppose your company is in the automotive industry. In that case, you may want to invest in startups working on new transportation technologies or developing new ways to use data from connected vehicles.
The LG Group has taken a leading role in investing in the Metaverse and is well-positioned to capitalize on the shift to this new paradigm. However, other enterprises need to take note of the company’s success and learn from its example. By following the steps outlined above, enterprises can increase their chances of success in the Metaverse and position themselves as leaders in this emerging market.
The mother of all ‘zero-days’ — immortal flaws in semiconductor chips
The CHIPS Act of 2022 was signed into law on Aug. 9. It provides tens of billions of dollars in public support for revitalization of domestic semiconductor manufacturing, workforce training, and “leap ahead” wireless technology. Because we outsource most of our device fabrication — including the chips that go into the Navy’s submarines and ships, the Army’s jeeps and tanks, military drones and satellites — our industrial base has become weak and shallow. The first order of business for the CHIPS Act is to address a serious deficit in our domestic production capacity.
Notoriously absent from the language of the bill is any mention of chip security. Consequently, the U.S. is about to make the same mistake with microelectronics that we made with digital networks and software applications: Unless and until the government demands in-device security, our competitors will have an easy time of manipulating how chips function and behave. Nowhere is this more dangerous than our national security infrastructure.
Why your org should plan for deepfake fraud before it happens
In the years ahead, technology will continue to evolve, and it will become harder to identify deepfakes. Indeed, as people and businesses take to the metaverse and the Web3, it’s likely that avatars will be used to access and consume a broad range of services. Unless adequate protections are put in place, these digitally native avatars will likely prove easier to fake than human beings.
However, just as technology will advance to exploit this, it will also advance to detect it. For their part, security teams should look to stay up to date on new advances in detection and other innovative technologies to help combat this threat. The direction of travel for deepfakes is clear, businesses should start preparing now.
David Fairman is the chief information officer and chief security officer of APAC at Netskope.