
Unlocking Gen AI’s Potential: The Data Platform Imperative
A robust data platform is the cornerstone of successful GenAI adoption.
Explore the transformative world of Generative AI, a cutting-edge technology revolutionising content creation across industries. Learn about its applications in text, image, audio, and video generation. Discover how businesses leverage generative models to enhance productivity, creativity, and innovation. Understand the ethical considerations and future potential of this rapidly evolving field that’s reshaping how we interact with artificial intelligence.
A robust data platform is the cornerstone of successful GenAI adoption.
Within a year, Beatoven.ai amassed more than 100,000 data samples, which were all proprietary for them.
The company has over 20,000 employees across 10 Indian cities – Ahmedabad, Bengaluru, Chennai, Gurugram, New Delhi, Noida, Hyderabad, Kolkata, Mumbai and Pune.
AWS has unveiled a new initiative in partnership with Tamil Nadu Technology (iTNT) Hub to establish a Gen AI startup hub program.
Fulara is responsible for scaling AI and ML products including Recommendations AI and now Meridian models.
With the Union Budget around the corner, it would be interesting to see the government allocate funds for such initiatives.
Former chief architect of Aadhaar Pramod Varma believes that India’s future is voice-based AI.
Phenomenal AI India’s first platform to bridge the gap between ideas and visuals with AI-powered video generation platform.
Studies by the McKinsey Global Institute estimate that increasing female workforce participation by just 10% could add a staggering $550 billion to India’s GDP.
Elsevier’s study which surveyed nearly 3,000 people globally working in research and healthcare shows that while 95% believe that it is a great source of knowledge, 87% think that using genAI tools can improve work quality.
The partnership claims to reduce data processing time from days to minutes and merchants can gain real-time data insights, optimising operations and decision-making.
Companies like Microsoft, Google, and IBM provide cloud services for the public sector; however, the AWS initiative is unique and first of its kind.
“Keeping up with the latest developments is becoming a full-time job on its own,” said Numan Karim.
GenAI can augment human intelligence by identifying patterns and correlations that humans may miss.
Infosys is currently managing over 225 generative AI programs for its clients, and has upskilled 2.5 lakh employees with generative AI.
The initiative will provide up to $50 million in AWS Promotional Credits, training, and technical expertise.
Apart from internally experimenting with AI, it has AI-powered models like SabreMosaic and Sabre Travel AI.
Besides consumer products, Wakefit is experimenting with models like OpenAI’s GPT-4 and Google’s Gemini to improve supply chain management, demand planning, and forecasting.
The financial giant has over 25% of its workforce based in India.
Generative AI has become a saviour for edtech firms by enabling hyper-personalised learning experiences and enhanced learning facilities for students.
The rise of voice-based generative AI assistants.
GenAI serves as an excellent tool in effectively aiding companies, but to do so in the field of life sciences requires key ethical considerations.
From mastering LangChain to building AI agents, these courses will help you stay ahead in the fast-evolving field of AI
SAP has also announced new generative AI partnerships with NVIDIA, Meta, Mistral AI and Google Cloud.
The company aims to automate 50% of customer interactions through autonomous agents.
Wipro’s VisionEdge platform powers more than 5,000 flight information displays across 15+ airports in the US, Canada, India, and the Middle East.
Chinese investor and entrepreneur Kai-Fu Lee is bullish about OpenAI becoming a trillion-dollar company in the next two to three years.
61% of executives said that they are allocating up to 10% of their tech budgets to GenAI.
In addition to Canva Enterprise, the company has made other major announcements, leading to AI features in Magic Studio, a new user experience, and more.
What about the companies that don’t have data so naturally embedded in their culture? How can they join the GenAI party?
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