Suggestions
Manish Nigam
Senior Director, Data Science at Ameriprise Financial and MBA Candidate at MIT Sloan
There are a few different Manish Nigams on LinkedIn, but none with the exact title "CEO | Healthcare Industry Leader | Strategic Consultant at ." mentioned in the query. Here are the most relevant Manish Nigams I found:
Manish Nigam
Senior Director, Data Science at Ameriprise Financial || MIT Sloan MBA candidate || IIT Roorkee
- Seasoned analytics leader with 16+ years of experience in business analytics and consulting across various industries1
- Currently a Senior Director of Data Science at Ameriprise Financial in Boston1
- Pursuing an MBA at MIT Sloan School of Management1
Manish Nigam
Managing Director at Credit Suisse
- 26+ year career at Credit Suisse, with roles including Head of Global Sector Research, Deputy Director of Asia Research, Head of Asia Pacific Technology Research2
- Briefly worked at an equity long/short fund in 2007-20082
Manish Nigam
Vice President -Tech Manager at Bank of America
- 25+ years of experience in operations, transformation and risk management in banking34
- Consulting, architecture and implementation of information security solutions across industry segments3
None of these Manish Nigams match the exact title and company mentioned in the query. The LinkedIn username provided, "manishnigam", matches the first Manish Nigam listed, who is a Senior Director at Ameriprise Financial. But there is no indication this person is a CEO, healthcare leader or strategic consultant. More information would be needed to determine if there is a Manish Nigam matching the query details.
Highlights
𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐠𝐞 𝐨𝐟 𝐀𝐈: 𝐀 𝐍𝐞𝐰 𝐄𝐫𝐚 𝐨𝐟 𝐇𝐲𝐩𝐞𝐫-𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐬𝐚𝐭𝐢𝐨𝐧
In India, the customer experience (CX) landscape is evolving rapidly, driven by AI-powered technology. Learning from Indonesia’s best practices, we can move beyond traditional personalization to hyper-personalisation, leveraging predictive analysis to revolutionize customer engagement and business strategies.
𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐬𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐇𝐲𝐩𝐞𝐫-𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐬𝐚𝐭𝐢𝐨𝐧 Traditional personalisation required manual configurations and human intervention to tailor content for each customer. This approach was labor-intensive and limited in scope. AI transforms this by automating and refining the process, enabling personalization that is sharper, faster, and more scalable. With AI, brands can deliver highly relevant content and recommendations in real-time, without manual effort.
Generative AI takes this further by creating precise content in various formats, such as images, videos, and text, tailored to each customer's preferences and behaviors. This enhances digital interactions, making them more engaging and personalized.
𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐀𝐈 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Harnessing AI’s power responsibly is crucial, we must ensure ethical AI education and awareness in India, helping users understand risks and proper AI usage.
𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐙𝐞𝐫𝐨-𝐏𝐚𝐫𝐭𝐲 𝐃𝐚𝐭𝐚 Brands can start their AI journey with zero-party data—information customers willingly share, such as preferences and purchase intentions. This data allows brands to enhance personalisation effectively. AI processes this data, predicting and recommending products, thereby improving customer experience and increasing sales.
The Path Forward The potential of AI in CX is immense for Indian brands.
#CustomerExperience #AI #HyperPersonalisation #DataPrivacy #EthicalAI #India #ZeroPartyData https://lnkd.in/gtt9mr3v via @dentsuaegis
𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐢𝐧𝐠 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 2024: 𝐁𝐞𝐲𝐨𝐧𝐝 𝐁𝐚𝐬𝐢𝐜𝐬 𝐭𝐨 𝐆𝐞𝐧𝐮𝐢𝐧𝐞 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧
In 2024, customer experience is about creating a personalized and meaningful connection with every customer. Here’s a unique insight: the true power lies in leveraging surveys and opt-in management to show genuine care. When you 𝐭𝐫𝐮𝐥𝐲 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐲𝐨𝐮𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫'𝐬 𝐣𝐨𝐮𝐫𝐧𝐞𝐲 𝐚𝐧𝐝 𝐩𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬, 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐞𝐱𝐜𝐞𝐞𝐝 𝐭𝐡𝐞𝐢𝐫 𝐞𝐱𝐩𝐞𝐜𝐭𝐚𝐭𝐢𝐨𝐧𝐬.
Consider this: 73% of shoppers will abandon a brand after one poor service experience. Yet, 𝐫𝐞𝐭𝐚𝐢𝐧𝐢𝐧𝐠 𝐚 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐜𝐨𝐬𝐭𝐬 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭𝐥𝐲 𝐥𝐞𝐬𝐬 𝐭𝐡𝐚𝐧 𝐚𝐜𝐪𝐮𝐢𝐫𝐢𝐧𝐠 𝐚 𝐧𝐞𝐰 𝐨𝐧𝐞. By embedding sentiment analysis surveys into all touchpoints, whether in-store or online via chatbots, you gain actionable insights to elevate customer interactions.
Go beyond basic ratings—ask open-ended questions that reveal customer emotions and preferences. Train your AI tools using this feedback to reflect your brand's voice accurately. 𝐑𝐞𝐬𝐩𝐞𝐜𝐭𝐢𝐧𝐠 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐜𝐨𝐧𝐬𝐞𝐧𝐭 𝐚𝐧𝐝 𝐩𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐜𝐡𝐚𝐧𝐧𝐞𝐥𝐬 further strengthens trust and loyalty.
Incorporating these strategies will not only retain customers but also maximize wallet share. In an era where personalized experience is key, your brand’s ability to connect on a deeper level will set you apart.
#CustomerExperience #RetailInnovation #BrandLoyalty #AI #CustomerSurveys https://lnkd.in/gD4DyspH
