AIM

Indian AI startup TWO.AI is making waves in the AI market. Founder Pranav Mistry announced that their SUTRA models have outperformed GPT-4o, Llama 3.1, and Indic LLMs like G42’s Nanda, Sarvam’s OpenHathi, and AI4Bhārat’s Airavata, leading in over 14 Indian languages. Their chatbot, ChatSUTRA, now boasts over 600,000 unique users. Unlike others, TWO focuses on big enterprise customers, partnering with giants like Jio, Shinhan Bank India, and SAMSUNG SDS. They've also teamed up with NVIDIA and Microsoft on the technology front. Read the complete story here: https://lnkd.in/gfRPsjaJ

ServiceNow is redefining enterprise workflow technology with its innovative AI solutions and strategic partnerships. As Sumeet Mathur, SVP and MD of ServiceNow India Technology & Business Centre, stated, “Our one-platform approach gives us a significant edge over competitors who rely on acquisitions to piece together solutions.” ServiceNow has also collaborated with Hugging Face to release StarCoder 2, an AI coding platform trained on a vast dataset and multiple programming languages, offering efficient and scalable code generation. Their commitment to a unified platform has attracted partnerships with industry leaders like Databricks and Snowflake, enhancing data integration and workflow efficiency. While competitors like Atlassian and Zendesk offer point solutions, ServiceNow's breadth and depth across IT, asset management, and security set it apart. Read the complete story here: https://lnkd.in/gtkBVUJN #AI #ServiceNow #Microsoft #HuggingFace #Databricks #Snowflake #EnterpriseTech

As AI continues to advance, it's crucial that we ensure diversity in its development. Sindhu Gangadharan, Managing Director of SAP Labs India, highlights a critical issue: “Women today make just 25% of AI researchers globally, which is a glaring gap that reflects not only underrepresentation but also the missed opportunities of building more inclusive and equitable systems.” Lisa Su, CEO of AMD, echoes this sentiment, emphasizing the need to encourage more women in high-potential fields: “There are still not enough women [in this domain]... success in technology is independent of gender.” Leaders like Ritwika Chowdhury, Founder & CEO of Unscript .AI, and Dr. Shivani Rai Gupta, Chief Data Scientist at Jio, stress the importance of women's participation in AI development. Chowdhury states, “Women represent half of the end-users of AI technology, making their input in development vital.” Gupta adds, “Women’s participation is vital, not just for their technical expertise but also for the ethical and social impact.” As Gangadharan aptly puts it, “When women lead in AI, we don’t just add diversity; we bring empathy. We challenge the biases, and we design systems that are more inclusive and human-centric.” With generative AI poised to add up to $1.5 trillion to India's GDP over the next seven years, it's imperative that this growth is inclusive. Let's champion women and underrepresented voices in AI, providing them with the platforms, opportunities, and recognition they deserve. Kudos to all the inspiring leaders and organizations driving a more inclusive AI future! Read the complete story here: https://lnkd.in/gdZadyS8

Anthropic has just announced a major update to its Claude AI model, and it's a game-changer for personalized content creation. According to Chris Gorgolewski, Ph.D., Technical Staff Member at Anthropic, “How many times has AI generated content for you, but it ‘didn’t sound like you?’ We have solved it.” GitLab is among the early adopters of this update. 🏳️🌈Taylor McCaslin, Product Lead for AI and ML Tech at GitLab, noted, “Claude’s ability to maintain a consistent voice while adapting to different contexts allows our team members to use styles for various use cases including writing business cases, updating user documentation, and creating and translating marketing materials.” The company is also making strides in the public sector through a partnership with Palantir Technologies to provide the U.S. government with advanced AI capabilities for data analysis and complex coding activities in projects of national security interest. Looking ahead, Anthropic CEO Dario Amodei revealed that their Opus model isn't going anywhere. We can also anticipate the launch of Claude 3.5 Opus and Claude 4.0 as part of their usual business cycle. Read the complete story here: https://lnkd.in/gzCqig8c

2024 marked a seismic shift for generative AI (GenAI), with Chinese leaders like MiniMax, ByteDance, and Huawei driving global innovation. MiniMax’s Talkie AI app gained 11M active users, while leaders like Kai-Fu Lee of 01.AI achieved groundbreaking cost reductions in AI inference. Models like Kling and Hailuo outpaced Western competitors, and predictions for 2025 suggest a rise in locally executed AI, powered by advancements like Apple Silicon. While GenAI boosts productivity, businesses must balance innovation with ethics to harness its full potential. https://lnkd.in/gBVn-Cf9

The Allen Institute for AI (Ai2) has unveiled its latest language models, OLMo 2, positioning them as strong competitors to industry leaders like Qwen, Llama, and Mistral. Trained on up to 5 trillion tokens, the models excel in natural language understanding and generation, delivering high performance across benchmarks like MATH, GSM8K, and IFEval. Available in 7B and 13B parameter versions, OLMo 2 models emphasize openness, with training data, code, and architecture made publicly accessible under the Apache 2.0 license. This transparency fosters collaboration and innovation in AI research. With instruction-tuned versions optimized for structured tasks, Ai2’s latest release demonstrates significant advances in tackling complex reasoning, reinforcing its role as a pioneer in open and high-performing AI models. https://lnkd.in/gzJ2tQ2C

In a strategic move, NTT DATA has announced its acquisition of Niveus Solutions, a Google Cloud Platform (GCP) specialist, to enhance its cloud modernization and AI capabilities. The deal, expected to close within 30–60 days, will bring 1,000 GCP experts to NTT DATA, bolstering its position as a top Google Cloud partner globally. This acquisition aligns with NTT DATA’s mission to drive digital transformation across industries like finance, retail, and manufacturing. Niveus, awarded Google Cloud’s 2024 Breakthrough Partner of the Year – Asia Pacific, adds expertise in innovative data analytics and AI-driven cloud solutions, furthering NTT DATA’s competitive edge in the $679B public cloud market. Read the complete story here: https://lnkd.in/gasPAs6m

Kubernetes, once celebrated as the backbone of modern container orchestration, is facing growing criticism for its complexity, high costs, and operational challenges. Companies like Gitpod and Threekit Visual Commerce are pivoting to alternatives like custom-built solutions and Google Cloud Run, seeking simplicity, scalability, and efficiency. While Gitpod’s Flex addresses issues like secure code execution and resource optimization for dynamic development environments, ThreeKit found Kubernetes’ overhead and slow autoscaling ill-suited for agile projects, opting for pay-per-use models instead. Experts like Murli Thirumale (Pure Storage) argue that Kubernetes remains vital for generative AI and application workloads but note the need to differentiate use cases. Meanwhile, tools like Okteto are tailoring Kubernetes for production-focused development environments with custom resource managers and isolated clusters.

IIMA Ventures has teamed up with Google for Startups to launch the first cohort of AI Academy India 2024! This initiative is a game-changer for early-stage AI startups, offering mentorship, cutting-edge tech access, and up to $350,000 in cloud credits. Supported by MeitY Startup Hub, the program empowers 22 startups tackling diverse challenges—from MagikKraft's AI-powered energy sustainability solutions to Credin's inclusive lending platform and Vayu's interoperable mobility app. Following its Gujarat launch, the academy will scale to cities like Delhi, Bengaluru, Chennai, and Hyderabad in collaboration with Kerala Startup Mission, T-Hub, IIT Madras Incubation Cell, and nasscom ai. With India's AI market set to hit $7.8B by 2025, initiatives like these are pivotal in shaping scalable, human-centered AI solutions for sectors like healthcare, education, climate, and fintech.

The telecommunications industry has always grappled with its biggest nemesis – fraud. From SIM box fraud and Wangiri scams (explained below) to device and subscription frauds, the sector loses billions annually to increasingly sophisticated schemes. However, telecom companies are putting up a good fight with AI for fraud detection and prevention. Telecom fraud is a global issue, with annual losses estimated at $32.7 billion. “Fraud will happen—that’s the reality. But as soon as patterns emerge, we must catch them so they don’t propagate,” Harsha Angeri, VP & head of AI business at Subex, told AIM.