Artificial intelligence shapes businesses today and has left behind its science fiction roots. Leading experts from banking, real estate, and finance joined a recent panel talk. Saugata Basu from Kalpataru Group led the chat as their top digital and info officer. They shared views on AI-driven growth and teamwork. The group covered AI’s shifts across many fields. Basu started by noting the heavy transaction load and strict rules in banking, financial services, and insurance. He pointed out its central spot in the AI shift.
Role of Data in AI Success
Binit Jha serves as chief data officer at IDBI Bank. He stressed how data type and quality matter a lot. This holds for both organized and messy data in banking AI. Jha gave examples of smart AI uses that boost work speed. He said government and chat-based AI tools handle big document piles. Tasks that once took days now wrap up fast. These are easy wins.
AI also eases complex bank products for customers. It spots needs through smart searches, not just phone calls. Jha shared this at the 2025 Chief Data and AI Officers event.
Varun Saxena leads AI and analytics at Anarock Property Consultants. He saw the same in real estate. There, AI shines in sales and marketing most. Saxena described generative AI chat tools for late-night customer talks. These bots set up property tours. He noted AI scoring of leads and customer habits raised site visits by 28 percent. In hands-on fields like this, tech blends with people to lift customer joy.
AI Growth and Its Work Impact
Shweta Mehta is executive director at J.P. Morgan Chase. She traced AI’s path, with focus on better language handling via big language models. Chat tools feel quick and natural now, unlike old rule-following ones. She cited J.P. Morgan’s language model set. It cuts time sharply on self-check tasks. AI will spread like power in homes soon, she claimed. Mehta praised the bots’ steady work ethic. She warned of AI’s reach into daily jobs, like streamlining back rooms and phone support.
Next, Abhishek Bose spoke up. He is executive vice president and data science head at Tata Capital. Bose highlighted AI’s wide reach on key tasks. Data storage gains and online changes since Covid sped this up. AI spots tiny issues in huge data piles, he said. This means rare but key events in finance get caught. Bose explained the move from past-data models to forward-looking event checks. It changes how banks handle risks and cheats.