Tag: IBM

The Financial Services industry can benefit greatly from leveraging Data and AI technologies to enhance client value and innovation. BFSI organisations want to deliver AI-driven outcomes.​

However, many AI projects fail to deliver long-term business value. Leaders in the industry must overcome challenges such as​

• Converting proofs of concept to scalable implementations ​
• Deploying end-to-end AI and Data strategies​
• Evolving business requirements​
• Responding to emerging trends such as Generative AI.

As a technology leader in BFSI, here are ​5 ways you can help deliver on your organisation’s AI ambitions.

1. Think in terms of outcomes – not use cases
2. Identify and eliminate digital debt
3. Build the right data platform architecture
4. Adopt a dual AI strategy
5. Be part of an innovation ecosystem

Read on to find out more.

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In a recent Leaders Roundtable held in Singapore, we delved into the fascinating world of cognitive AI and its impact on the Banking, Financial Services, and Insurance (BFSI) industry. Join us as we uncover the key takeaways and insights from this engaging conversation, featuring esteemed guests from IBM who were at the forefront of this thought-provoking discussion.

Our host, Sash Mukherjee, VP Industry Insights, Ecosystm, speaks with IBM leaders Sena Nallasenapathi Periasamy, Purushothama Shenoy, and Vinay Pamnani to explore the challenges and drivers of cognitive AI in the BFSI sector. They share their expert opinions and shed light on the factors contributing to AI-led disruptions within organizations operating in this dynamic industry.

Want to know how cognitive AI is transforming the BFSI landscape? Curious about the hurdles organizations face when adopting AI technologies? Interested in understanding the potential of cognitive AI to revolutionize customer experiences and streamline operations? Then this episode is a must-listen for you!

Leading Banking and Financial Services organisations play a crucial role in financing sustainability transition. They have the infrastructure and resources to kickstart their own sustainability journey. But beyond that, they also have a greater role in building a sustainable value chain. 

This extends to helping the traditional economy to transition; green investments to promote organisations with the right intentions; and empowering their customers to make environmentally-friendly choices.

As a technology leader in BFSI, you are an integral part of your organisation’s sustainability journey. Here are 5 ways in which BFSI tech leaders can support their organisations to turn sustainability intentions into reality.

Align tech with business goals and strategy. Think like a business leader and understand larger goals beyond technology deployments to empower your team.

View reporting as more than a checklist. You are in an ideal position to demonstrate the value of data insights beyond reporting mandates to the leadership team – link them to larger business outcomes.

Build intelligence into your facilities and assets. Consider investing in an intelligent enterprise asset management solution to automate asset and infrastructure management, remotely monitor and manage asset operations, and achieve sustainable business outcomes.

Automate your infrastructure allocation. You are increasingly using FinOps tools and other predictive analytics dashboards for cost and resource optimisation – extend the use for greater energy efficiency.

Understand your organisation’s unique sustainability journey. Seek independent opinion from third parties to empower your organisation to take the first step in the sustainability strategy, derive insights from data assets, and create market differentiation.

Read on to find more.

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Ullrich Loeffler, CEO of Ecosystm, sat down with Paul Burton, GM Asia Pacific at IBM, to discuss the latest trends and technologies shaping the business landscape in the Asia Pacific region.

Ullrich and Paul explored a range of topics, including:

• How organisations are leveraging technology to tackle market uncertainties and business priorities
• The importance of data & AI in driving business success
• How challenges such as data integration and quality can be mitigated
• The role of technology in supporting organisations’ sustainability ambitions
• The significance of partner ecosystems, collaborations, and knowledge-sharing to support innovation

Listen to the full conversation exclusively on Ecosystm Podcast