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    <title>Bottomline on AI</title>
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    <description><![CDATA[<p>AI is everywhere. But what's the tangible value? What are the real learnings from actual deployments in business?</p>
<p>Bottom Line on AI is a new podcast by Srividya Kannan, CEO of Avaali Solutions, featuring conversations with CFOs and business leaders who have successfully executed high-value AI projects.</p>
<p>This isn't about AI's potential; it's about the reality of execution. It's about aligning technology with business goals, navigating challenges and delivering results that truly matter.</p>
<p>Join Srividya as she explores the nuances of what really makes AI work in the real world, bridging the gap between AI's promise and its reality.</p>]]></description>
    <pubDate>Fri, 15 May 2026 12:51:04 +0000</pubDate>
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        <copyright>Copyright 2025 All rights reserved.</copyright>
    <category>Business</category>
    <ttl>1440</ttl>
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          <itunes:summary></itunes:summary>
        <itunes:author>Srividya Kannan</itunes:author>
<itunes:category text="Business" />
    <itunes:owner>
        <itunes:name>Srividya Kannan</itunes:name>
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        <title>Official teaser | Avaali Podcast</title>
        <itunes:title>Official teaser | Avaali Podcast</itunes:title>
        <link>https://csv5pd982n.podbean.com/e/bottomline-on-ai/</link>
                    <comments>https://csv5pd982n.podbean.com/e/bottomline-on-ai/#comments</comments>        <pubDate>Mon, 10 Nov 2025 10:26:24 +0000</pubDate>
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                                    <description><![CDATA[<p>AI is everywhere. But what's the tangible value? What are the real learnings from actual deployments in business?

Bottom Line on AI is a new podcast by Srividya Kannan, CEO of Avaali Solutions, featuring conversations with CFOs and business leaders who have successfully executed high-value AI projects.

This isn't about AI's potential; it's about the reality of execution. It's about aligning technology with business goals, navigating challenges and delivering results that truly matter.

Join Srividya as she explores the nuances of what really makes AI work in the real world, bridging the gap between AI's promise and its reality.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>AI is everywhere. But what's the tangible value? What are the real learnings from actual deployments in business?<br>
<br>
Bottom Line on AI is a new podcast by Srividya Kannan, CEO of Avaali Solutions, featuring conversations with CFOs and business leaders who have successfully executed high-value AI projects.<br>
<br>
This isn't about AI's potential; it's about the reality of execution. It's about aligning technology with business goals, navigating challenges and delivering results that truly matter.<br>
<br>
Join Srividya as she explores the nuances of what really makes AI work in the real world, bridging the gap between AI's promise and its reality.</p>
]]></content:encoded>
                                    
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        <itunes:summary>This is just a taste of what’s coming up! Stay tuned for a powerful conversation you won’t want to miss.</itunes:summary>
        <itunes:author>Srividya Kannan</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>113</itunes:duration>
                        <itunes:episodeType>trailer</itunes:episodeType>
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    <item>
        <title>Ep 1: On building AI-ready finance teams</title>
        <itunes:title>Ep 1: On building AI-ready finance teams</itunes:title>
        <link>https://csv5pd982n.podbean.com/e/bottom-line-on-ai-ep-1-on-building-ai-ready-finance-teams/</link>
                    <comments>https://csv5pd982n.podbean.com/e/bottom-line-on-ai-ep-1-on-building-ai-ready-finance-teams/#comments</comments>        <pubDate>Thu, 20 Nov 2025 12:29:01 +0000</pubDate>
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                                    <description><![CDATA[<p><a href='https://www.linkedin.com/in/srividya-kannan-avaali/'>Srividya Kannan</a> speaks with <a href='https://www.linkedin.com/in/sambasivan-g-1950a712/'>Sambasivan G</a>, CFO of Tata Play, about what it really takes to make AI work in finance.

Not the theory. The 13-year journey.

Sambasivan shares how Tata Play spent 7-8 years building the foundation (systems, processes, data integrity, automation) before implementing AI projects that delivered measurable results.

That groundwork paid off. Once the foundation was in place, they deployed seven meaningful AI initiatives in three years. An ML fraud detection project achieved 60% cost savings. Finance employee engagement jumped from 52% to 91%. The CFO role shifted from 70% operations to 50% strategic partnership.

Watch the full episode: 
YouTube: <a href='https://lnkd.in/gH-KGZQG'>https://lnkd.in/gH-KGZQG</a>
Spotify: <a href='https://lnkd.in/gP72TDu3'>https://lnkd.in/gP72TDu3</a>
X: <a href='https://x.com/AvaaliSolutions/status/1991479164495634532'>https://x.com/AvaaliSolutions/status/1991479164495634532</a>
LinkedIn: <a href='https://www.linkedin.com/feed/update/urn:li:activity:7397242734241148928'>https://www.linkedin.com/feed/update/urn:li:activity:7397242734241148928</a>
Facebook:<a href='https://www.facebook.com/AvaaliSolutions/posts/pfbid02dopv7TiEZ7SiMvjtNwLvzq6qmShY7ShuhW3i45FQETCvK2cas4GgjV2LmYwzbkNl'>https://www.facebook.com/AvaaliSolutions/posts/pfbid02dopv7TiEZ7SiMvjtNwLvzq6qmShY7ShuhW3i45FQETCvK…</a></p>
<p> </p>
<p><a href='https://www.linkedin.com/search/results/all/?keywords=%23avaalisolutions&amp;origin=HASH_TAG_FROM_FEED'>#AvaaliSolutions</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23bottomlineonai&amp;origin=HASH_TAG_FROM_FEED'>#BottomLineOnAI</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23podcast&amp;origin=HASH_TAG_FROM_FEED'>#Podcast</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23enterpriseai&amp;origin=HASH_TAG_FROM_FEED'>#EnterpriseAI</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aibusinessimpact&amp;origin=HASH_TAG_FROM_FEED'>#AIBusinessImpact</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aiexecution&amp;origin=HASH_TAG_FROM_FEED'>#AIExecution</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aiinaction&amp;origin=HASH_TAG_FROM_FEED'>#AIInAction</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23digitaltransformation&amp;origin=HASH_TAG_FROM_FEED'>#DigitalTransformation</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aipodcast&amp;origin=HASH_TAG_FROM_FEED'>#AIPodcast</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aidrivenenterprise&amp;origin=HASH_TAG_FROM_FEED'>#AIDrivenEnterprise</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23firstepisode&amp;origin=HASH_TAG_FROM_FEED'>#FirstEpisode</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&amp;origin=HASH_TAG_FROM_FEED'>#ArtificialIntelligence</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23enterpriseai&amp;origin=HASH_TAG_FROM_FEED'>#EnterpriseAI</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23techinfinance&amp;origin=HASH_TAG_FROM_FEED'>#TechInFinance</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aiadoption&amp;origin=HASH_TAG_FROM_FEED'>#AIAdoption</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p><a href='https://www.linkedin.com/in/srividya-kannan-avaali/'>Srividya Kannan</a> speaks with <a href='https://www.linkedin.com/in/sambasivan-g-1950a712/'>Sambasivan G</a>, CFO of Tata Play, about what it really takes to make AI work in finance.<br>
<br>
Not the theory. The 13-year journey.<br>
<br>
Sambasivan shares how Tata Play spent 7-8 years building the foundation (systems, processes, data integrity, automation) before implementing AI projects that delivered measurable results.<br>
<br>
That groundwork paid off. Once the foundation was in place, they deployed seven meaningful AI initiatives in three years. An ML fraud detection project achieved 60% cost savings. Finance employee engagement jumped from 52% to 91%. The CFO role shifted from 70% operations to 50% strategic partnership.<br>
<br>
Watch the full episode: <br>
YouTube: <a href='https://lnkd.in/gH-KGZQG'>https://lnkd.in/gH-KGZQG</a><br>
Spotify: <a href='https://lnkd.in/gP72TDu3'>https://lnkd.in/gP72TDu3</a><br>
X: <a href='https://x.com/AvaaliSolutions/status/1991479164495634532'>https://x.com/AvaaliSolutions/status/1991479164495634532</a><br>
LinkedIn: <a href='https://www.linkedin.com/feed/update/urn:li:activity:7397242734241148928'>https://www.linkedin.com/feed/update/urn:li:activity:7397242734241148928</a><br>
Facebook:<a href='https://www.facebook.com/AvaaliSolutions/posts/pfbid02dopv7TiEZ7SiMvjtNwLvzq6qmShY7ShuhW3i45FQETCvK2cas4GgjV2LmYwzbkNl'>https://www.facebook.com/AvaaliSolutions/posts/pfbid02dopv7TiEZ7SiMvjtNwLvzq6qmShY7ShuhW3i45FQETCvK…</a></p>
<p> </p>
<p><a href='https://www.linkedin.com/search/results/all/?keywords=%23avaalisolutions&amp;origin=HASH_TAG_FROM_FEED'>#AvaaliSolutions</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23bottomlineonai&amp;origin=HASH_TAG_FROM_FEED'>#BottomLineOnAI</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23podcast&amp;origin=HASH_TAG_FROM_FEED'>#Podcast</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23enterpriseai&amp;origin=HASH_TAG_FROM_FEED'>#EnterpriseAI</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aibusinessimpact&amp;origin=HASH_TAG_FROM_FEED'>#AIBusinessImpact</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aiexecution&amp;origin=HASH_TAG_FROM_FEED'>#AIExecution</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aiinaction&amp;origin=HASH_TAG_FROM_FEED'>#AIInAction</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23digitaltransformation&amp;origin=HASH_TAG_FROM_FEED'>#DigitalTransformation</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aipodcast&amp;origin=HASH_TAG_FROM_FEED'>#AIPodcast</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aidrivenenterprise&amp;origin=HASH_TAG_FROM_FEED'>#AIDrivenEnterprise</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23firstepisode&amp;origin=HASH_TAG_FROM_FEED'>#FirstEpisode</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&amp;origin=HASH_TAG_FROM_FEED'>#ArtificialIntelligence</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23enterpriseai&amp;origin=HASH_TAG_FROM_FEED'>#EnterpriseAI</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23techinfinance&amp;origin=HASH_TAG_FROM_FEED'>#TechInFinance</a> <a href='https://www.linkedin.com/search/results/all/?keywords=%23aiadoption&amp;origin=HASH_TAG_FROM_FEED'>#AIAdoption</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/96v99i7w3rudp949/Avaali_Podcast_Episode_16ii3i.mp4" length="560340807" type="video/mp4"/>
        <itunes:summary>Srividya Kannan speaks with Sambasivan G, CFO of Tata Play, about what it really takes to make AI work in finance.</itunes:summary>
        <itunes:author>Srividya Kannan</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1917</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep 2: AI in Real Estate (Part 1)</title>
        <itunes:title>Ep 2: AI in Real Estate (Part 1)</itunes:title>
        <link>https://csv5pd982n.podbean.com/e/ai-in-real-estate/</link>
                    <comments>https://csv5pd982n.podbean.com/e/ai-in-real-estate/#comments</comments>        <pubDate>Thu, 12 Mar 2026 09:37:03 +0000</pubDate>
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                                    <description><![CDATA[<p> </p>
<p>The latest episode of Bottom Line on AI explores how artificial intelligence is reshaping the real estate industry, featuring Vishesh Kaul, Chief Information and Digital Officer at Prestige Group.</p>
<p>Hosted by Srividya Kannan, this conversation dives into how one of India’s largest real estate firms is strategically implementing AI across its operations.</p>
<p>This episode covers:</p>
<p>• Construction and design optimisation
• Smart building development and sustainability
• The role of AI in redesigning urban infrastructure</p>
<p>Gain a clear view of how AI is moving beyond experimentation to drive real, measurable transformation in the property sector.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p> </p>
<p>The latest episode of <em>Bottom Line on AI</em> explores how artificial intelligence is reshaping the real estate industry, featuring Vishesh Kaul, Chief Information and Digital Officer at Prestige Group.</p>
<p>Hosted by Srividya Kannan, this conversation dives into how one of India’s largest real estate firms is strategically implementing AI across its operations.</p>
<p>This episode covers:</p>
<p>• Construction and design optimisation<br>
• Smart building development and sustainability<br>
• The role of AI in redesigning urban infrastructure</p>
<p>Gain a clear view of how AI is moving beyond experimentation to drive real, measurable transformation in the property sector.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/mz69iwed8atw4m4e/AI_in_Real_Estate_Transforming_India_s_Prestige_Group_Bottom_Line_on_AI_Part_18esi1.mp4" length="498841118" type="video/mp4"/>
        <itunes:summary>Srividya Kannan speaks with Vishesh Kaul, CIDO of Prestige Group, about what it really takes to make AI work in finance.</itunes:summary>
        <itunes:author>Srividya Kannan</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1709</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep 2: AI in Real Estate (Part 2)</title>
        <itunes:title>Ep 2: AI in Real Estate (Part 2)</itunes:title>
        <link>https://csv5pd982n.podbean.com/e/ep-2-part-2/</link>
                    <comments>https://csv5pd982n.podbean.com/e/ep-2-part-2/#comments</comments>        <pubDate>Wed, 01 Apr 2026 05:33:35 +0000</pubDate>
        <guid isPermaLink="false">csv5pd982n.podbean.com/0992aaad-42ed-3243-8f1b-8b1d97f8611b</guid>
                                    <description><![CDATA[<p>In Part 2 of Bottom Line on AI, Srividya Kannan continues the conversation with Vishesh Kaul, Chief Information and Digital Officer at Prestige Group, focusing on what it takes to scale AI in the enterprise.</p>
<p>This episode explores:</p>
<p>• The difference between AI and traditional automation
• Why alignment—not adoption—is the biggest challenge
• Real-world use cases, including agentic AI in pre-sales and invoice management
• Data privacy and DPDP readiness
• Workforce repurposing in an AI-driven enterprise</p>
<p>Get a practical perspective on how leading organisations are moving from AI pilots to scaled impact—and what the future could look like over the next decade.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In Part 2 of <em>Bottom Line on AI</em>, Srividya Kannan continues the conversation with Vishesh Kaul, Chief Information and Digital Officer at Prestige Group, focusing on what it takes to scale AI in the enterprise.</p>
<p>This episode explores:</p>
<p>• The difference between AI and traditional automation<br>
• Why alignment—not adoption—is the biggest challenge<br>
• Real-world use cases, including agentic AI in pre-sales and invoice management<br>
• Data privacy and DPDP readiness<br>
• Workforce repurposing in an AI-driven enterprise</p>
<p>Get a practical perspective on how leading organisations are moving from AI pilots to scaled impact—and what the future could look like over the next decade.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/wup9ri2kugqwspyr/AI_in_Real_Estate_Transforming_India_s_Prestige_Group_Bottom_Line_on_AI_Part_2a60bx.mp4" length="435698336" type="video/mp4"/>
        <itunes:summary>A focused discussion on scaling AI in the enterprise—covering alignment challenges, real-world use cases, data privacy, and the future of AI-driven organisations.</itunes:summary>
        <itunes:author>Srividya Kannan</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1479</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep 3: AI in Pharma (Part 1)</title>
        <itunes:title>Ep 3: AI in Pharma (Part 1)</itunes:title>
        <link>https://csv5pd982n.podbean.com/e/ai-in-pharma/</link>
                    <comments>https://csv5pd982n.podbean.com/e/ai-in-pharma/#comments</comments>        <pubDate>Fri, 24 Apr 2026 12:43:36 +0000</pubDate>
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                                    <description><![CDATA[<p>What does it take to build AI into an enterprise supply chain that spans oncology, generics and global markets? In the latest episode of Bottom Line on AI, host Srividya Kannan discusses the strategic role of AI across banking, consumer goods and pharmaceuticals with Meenakshi Chhajer, Global Digital Supply Chain Head at Dr. Reddy's Laboratories. 

This conversation was so comprehensive that we have divided it into two parts. Part 1 is available now. 

Drawing on 18 years across BFSI, CPG and pharma, Meenakshi unpacks the 25 to 30 year AI maturity gap between banking and pharma, why Indian generic pharma is set to catch up with FMCG in the next 4 to 5 years, and how Dr. Reddy's is applying a three-layered approach to AI — starting with process digitalisation, then data strategy, then intelligent systems on top. She shares real examples from demand forecasting, quality management on the shop floor, logistics and PAL, an agentic AI assistant being piloted to take the drudgery out of procurement contracts. 

This episode explores why the discipline of getting the basics right — digitalised processes, reliable data — is what actually separates AI hype from enterprise outcomes. 

Watch now to understand what AI adoption looks like inside one of India's largest pharmaceutical companies. Subscribe to our channel for Part 2 and more discussions with business leaders turning AI concepts into measurable impact.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>What does it take to build AI into an enterprise supply chain that spans oncology, generics and global markets? In the latest episode of Bottom Line on AI, host Srividya Kannan discusses the strategic role of AI across banking, consumer goods and pharmaceuticals with Meenakshi Chhajer, Global Digital Supply Chain Head at Dr. Reddy's Laboratories. <br>
<br>
This conversation was so comprehensive that we have divided it into two parts. Part 1 is available now. <br>
<br>
Drawing on 18 years across BFSI, CPG and pharma, Meenakshi unpacks the 25 to 30 year AI maturity gap between banking and pharma, why Indian generic pharma is set to catch up with FMCG in the next 4 to 5 years, and how Dr. Reddy's is applying a three-layered approach to AI — starting with process digitalisation, then data strategy, then intelligent systems on top. She shares real examples from demand forecasting, quality management on the shop floor, logistics and PAL, an agentic AI assistant being piloted to take the drudgery out of procurement contracts. <br>
<br>
This episode explores why the discipline of getting the basics right — digitalised processes, reliable data — is what actually separates AI hype from enterprise outcomes. <br>
<br>
Watch now to understand what AI adoption looks like inside one of India's largest pharmaceutical companies. Subscribe to our channel for Part 2 and more discussions with business leaders turning AI concepts into measurable impact.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/5tp8xy8cqu4hjrhf/AI_in_Pharma_Transforming_Dr_Reddy_s_Supply_Chain_Bottom_Line_on_AI_Part_17j2xw.mp4" length="321333155" type="video/mp4"/>
        <itunes:summary><![CDATA[What does it take to build AI into an enterprise supply chain that spans oncology, generics and global markets? In the latest episode of Bottom Line on AI, host Srividya Kannan discusses the strategic role of AI across banking, consumer goods and pharmaceuticals with Meenakshi Chhajer, Global Digital Supply Chain Head at Dr. Reddy's Laboratories. This conversation was so comprehensive that we have divided it into two parts. Part 1 is available now. Drawing on 18 years across BFSI, CPG and pharma, Meenakshi unpacks the 25 to 30 year AI maturity gap between banking and pharma, why Indian generic pharma is set to catch up with FMCG in the next 4 to 5 years, and how Dr. Reddy's is applying a three-layered approach to AI — starting with process digitalisation, then data strategy, then intelligent systems on top. She shares real examples from demand forecasting, quality management on the shop floor, logistics and PAL, an agentic AI assistant being piloted to take the drudgery out of procurement contracts. This episode explores why the discipline of getting the basics right — digitalised processes, reliable data — is what actually separates AI hype from enterprise outcomes. Watch now to understand what AI adoption looks like inside one of India's largest pharmaceutical companies. Subscribe to our channel for Part 2 and more discussions with business leaders turning AI concepts into measurable impact.]]></itunes:summary>
        <itunes:author>Srividya Kannan</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1099</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ep 3: AI in Pharma (Part 2)</title>
        <itunes:title>Ep 3: AI in Pharma (Part 2)</itunes:title>
        <link>https://csv5pd982n.podbean.com/e/ep-2-ai-in-pharma/</link>
                    <comments>https://csv5pd982n.podbean.com/e/ep-2-ai-in-pharma/#comments</comments>        <pubDate>Fri, 15 May 2026 12:51:04 +0000</pubDate>
        <guid isPermaLink="false">csv5pd982n.podbean.com/65784b6f-a48b-3e5f-99b7-07fed06d86a9</guid>
                                    <description><![CDATA[<p>In Part 2 of this Bottom Line on AI conversation, host Srividya Kannan continues her discussion with Meenakshi Chhajer, Global Digital Supply Chain Head at Dr. Reddy's Laboratories, on what it actually takes to make AI deliver inside large enterprises.</p>
<p>This episode goes deeper into the harder, less glamorous parts of enterprise AI. Meenakshi unpacks why DQ scores have become as critical as business KPIs, how unstructured data hidden in contracts, supplier AGMs and meeting recordings is opening up new value, and where AI is beginning to take over the manual effort of building common data models. She also shares Unilever's celebrated Sky and Shikhar programmes as examples of how customer centricity is being re-engineered with AI in the loop.</p>
<p>The conversation turns to people next. Drawing on the ADKAR framework, Meenakshi talks about why digital teams have to lead by example, how to identify champions of change inside business functions, and why customers and suppliers must be brought into the transformation story for it to stick. She closes with a five-year view: a 50% productivity lift in pharma R&amp;D and manufacturing, hyper-personalisation deepening in CPG, AI-driven M&amp;A reshaping the industry, and blockchain getting a second life in banking on the back of stronger compute.</p>
<p>Watch Part 2 now for a grounded look at the operating model, data and talent shifts that decide whether enterprise AI scales or stalls.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In Part 2 of this Bottom Line on AI conversation, host Srividya Kannan continues her discussion with Meenakshi Chhajer, Global Digital Supply Chain Head at Dr. Reddy's Laboratories, on what it actually takes to make AI deliver inside large enterprises.</p>
<p>This episode goes deeper into the harder, less glamorous parts of enterprise AI. Meenakshi unpacks why DQ scores have become as critical as business KPIs, how unstructured data hidden in contracts, supplier AGMs and meeting recordings is opening up new value, and where AI is beginning to take over the manual effort of building common data models. She also shares Unilever's celebrated Sky and Shikhar programmes as examples of how customer centricity is being re-engineered with AI in the loop.</p>
<p>The conversation turns to people next. Drawing on the ADKAR framework, Meenakshi talks about why digital teams have to lead by example, how to identify champions of change inside business functions, and why customers and suppliers must be brought into the transformation story for it to stick. She closes with a five-year view: a 50% productivity lift in pharma R&amp;D and manufacturing, hyper-personalisation deepening in CPG, AI-driven M&amp;A reshaping the industry, and blockchain getting a second life in banking on the back of stronger compute.</p>
<p>Watch Part 2 now for a grounded look at the operating model, data and talent shifts that decide whether enterprise AI scales or stalls.</p>
]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[In Part 2 of this Bottom Line on AI conversation, host Srividya Kannan continues her discussion with Meenakshi Chhajer, Global Digital Supply Chain Head at Dr. Reddy's Laboratories, on what it actually takes to make AI deliver inside large enterprises.
This episode goes deeper into the harder, less glamorous parts of enterprise AI. Meenakshi unpacks why DQ scores have become as critical as business KPIs, how unstructured data hidden in contracts, supplier AGMs and meeting recordings is opening up new value, and where AI is beginning to take over the manual effort of building common data models. She also shares Unilever's celebrated Sky and Shikhar programmes as examples of how customer centricity is being re-engineered with AI in the loop.
The conversation turns to people next. Drawing on the ADKAR framework, Meenakshi talks about why digital teams have to lead by example, how to identify champions of change inside business functions, and why customers and suppliers must be brought into the transformation story for it to stick. She closes with a five-year view: a 50% productivity lift in pharma R&amp;D and manufacturing, hyper-personalisation deepening in CPG, AI-driven M&amp;A reshaping the industry, and blockchain getting a second life in banking on the back of stronger compute.
Watch Part 2 now for a grounded look at the operating model, data and talent shifts that decide whether enterprise AI scales or stalls.]]></itunes:summary>
        <itunes:author>Srividya Kannan</itunes:author>
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        <itunes:duration>1440</itunes:duration>
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