Microsoft’s Open-and-shut Case

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Early this week, Microsoft announced the launch of a private ChatGPT platform called Azure ChatGPT. Supposedly, it was an alternative to OpenAI’s ChatGPT that guaranteed the privacy of data and was fully isolated from those operated by OpenAI. However, two days later, Azure ChatGPT was removed, and its GitHub repository was deleted. It seems that the announcement of Azure ChatGPT by Microsoft didn’t sit well with OpenAI, and this might be the reason for removal of the private ChatGPT. Microsoft's sales pitch was quite straightforward. Without mincing words, the tech giant stated, “ChatGPT risks exposing confidential intellectual property. One option is to block corporate access to ChatGPT, but people always find workarounds.” Then presented itself as an alternative and said: ChatGPT on Azure solution accelerator is our enterprise option. This solution provides a similar user experience to ChatGPT but offered as your private ChatGPT. Regarding privacy, it further added that the data within ChatGPT on Azure is 'fully isolated from those operated by OpenAI.' All these points indicate that OpenAI’s ChatGPT might not be a secure solution in terms of privacy and security, and users should consider using Microsoft’s new Azure service. From OpenAI’s perspective, it was definitely not a good sales pitch by the partner company Microsoft, which was directly criticising OpenAI for building its own customer base on Azure.  Microsoft’s Azure is emerging as the biggest product within the company’s cloud service. In a recent earnings call, Microsoft CEO Satya Nadella announced that Azure covered more than half of the annual sales of Microsoft Cloud, totaling about $110 billion. Now, as the tech giant sees the emergence of Azure, a close competitor of AWS, it leaves no stone unturned to make it as the largest player in the market. It appears that, to achieve this goal, Microsoft is ready to break any partnership, even with OpenAI. Read the full story here. X Tweaks Algorithm  Musk has a super deal for content creators: Pay $8 a month and get thousands in return. X is revamping itself with more than 10,000 changes in its codes that makes it algorithm creators-friendly.  Replies hold greater significance over simple retweets, garnering increased visibility and priority on feeds. Additionally, reply streams will incorporate more advertisements, enhancing ad revenue for creators with exclusive subscriber content. To maintain the Users’ retention, any links which redirect outside the platform will be deboosted. On the other hand, it boosts tweets with photos, gifs and videos.  X also pushes posts that have long form content, and not shorter content that can disappear with just a single scroll on the feed.  If you ace at doing all these things and rise up on the algorithm, X will make you king of the platform.  Read the full story here. SIGGRAPH's Award Goes To… Generative AI has shaken up the graphics industry, with new groundbreaking models constantly emerging. ACM SIGGRAPH, an academic organisation focused on computer graphics, annually presents an event where technology and art converge. This year, from August 6 to 10, in Los Angeles, NVIDIA CEO Huang Jensen delivered a talk highlighting generative AI, computer graphics, and OpenUSD development.  SIGGRAPH's 50th anniversary introduced the 2022 Technical Paper Awards, recognizing scholarly contributions. Notable winners include "Split-Lohmann Multifocal Displays," offering immersive 3D experiences, and "Differentiable Stripe Patterns" for automated surface design. "Globally Consistent Normal Orientation" refines point cloud processing, while "3D Gaussian Splatting" achieves real-time radiance field rendering. Disney Research's "Differentiable Optimal Control" allows motion adaptation onto diverse legged robots through a novel framework. Read the full story here. How Dream Sports Hires Data Scientists Dream Sports, the Indian sports tech unicorn behind brands like Dream11 and FanCode, combines sports and data science to enhance user experience.  Analytics India Magazine, in an exclusive interview with the firm's CTO, Amit Sharma, discussed AI and ML operations, hiring strategy, and culture of the company. According to Sharma, data science plays a key role, addressing challenges like personalization and fraud detection. Over 100 AI and ML models enable context-driven feature discovery, while fraud detection and personalization systems utilise knowledge graphs and data drift detection.  Dream11 prioritises skills aligned with their "DOPUT" values—Data-Driven, Ownership, Performance, Cultural fit is crucial, followed by tailored processes for data science roles which involves aptitude tests, technical interviews covering R programming, ML, and mock projects, plus domain-specific assessments. Dream Sports fosters a culture of experimentation and learning, offering unique perks like the 'Learning Wallet' and unlimited leaves while embracing React Native for app development. Read the full story here. TAUSIF ALAM & AMIT RAJA NAIK Wednesday, Aug 16, 2023 | Was this email forwarded to you? Sign up here DOWNLOAD OUR MOBILE APP Stay Connected info@analyticsindiamag.com © 2023 Analytics India Magazine

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