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AI doesn’t know much about golf. Or farming. Or mortgages. Or…

LivemintLivemint · 9m ago
AI doesn’t know much about golf. Or farming. Or mortgages. Or…
Medial

- Many AI models, including ChatGPT, lack deep, specific knowledge even on mainstream topics like golf. - Companies need to augment general models with industry-specific or business-specific data to make them useful. - Augmentation options vary in terms of accuracy, reliability, costs, and complexity. - Retrieval augmented generation (RAG) is an approach used by the PGA Tour to avoid AI errors. It includes organization-specific information in the model's input and involves human review of the model's outputs. - Fine-tuning parts of the model with proprietary data can result in higher accuracy and relevance of responses, but it can be more expensive and require specialized talent. - The highest level of accuracy is achieved when a company trains its own models, but this approach is cost- and talent-prohibitive for most enterprises.

Inside the AI talent-hiring frenzy

Business InsiderBusiness Insider · 1y ago
Inside the AI talent-hiring frenzy
Medial

Demand for AI talent is intensifying as companies compete to create the best products in the field, with larger and wealthier firms currently dominating the race. Smaller companies struggle to attract workers with both technical and non-technical AI skills, believing they are being squeezed out of the sector by industry giants like Meta and Microsoft. The cost of hiring AI talent is high, with major firms offering substantial compensation packages, making it a challenge for smaller businesses. Additionally, there is a shortage of candidates with the required skills, such as proficiency in programming languages and deep learning software libraries. However, startups are becoming more generous with offers, including equity, to compete with larger companies. As the industry evolves, companies are investing in chief AI officers, training programs, and internal discussions to catch up with the technology and bridge the talent gap.

Climate tech startup Fitsol raises $1 Mn in seed round

EntrackrEntrackr · 7m ago
Climate tech startup Fitsol raises $1 Mn in seed round
Medial

Fitsol, a decarbonization platform designed for the manufacturing industry, has raised $1 million in its seed round from Transition VC. The proceeds will be used to ramp up growth across three key areas. It will invest in enhancing Kyoto’s AI capabilities to offer advanced analytics and modules for lifecycle assessments and product carbon footprints. It also plans to expand its operations by hiring top talent in technology, business development, and customer success. Founded in 2022 by Anand Pathak, Akshay Tandon, Manoj Sharma, Sunil Bansal, and Vikas Kalra, Fitsol enables manufacturers to measure, report, benchmark, and actively reduce their carbon emissions through its AI-driven platform, Kyoto, and a comprehensive sustainability marketplace. While Kyoto tracks emissions across Scope 1, 2, and 3, the marketplace offers solutions such as green logistics, sustainable packaging, eco-friendly procurement, waste management, and carbon offsetting services—streamlining the path to achieving net-zero targets. Its end-to-end approach also demonstrates its financial viability. It claims to have delivered 15–20% cost savings across its carbon reduction projects, shattering the industry’s misconception that sustainability is prohibitively expensive. The firm caters to industry leaders like JK Tyre, JBM Group, Rockman Industries, Hindware, Musashi, and Penguin Random House India, while also playing a crucial role in the supply chains of major automotive brands such as Mahindra, Suzuki, Hero, Royal Enfield, OLA Electric, and Ather.

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