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		<title>Insights Achieved Podcast</title>
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		<description>Welcome to the Insights Achieved Podcast, where we explore cutting-edge strategies and technologies driving business performance and growth. Join industry leaders and experts as they share actionable insights on leveraging AI, data analytics, and innovative methodologies to solve complex challenges. Whether you&#039;re a business executive, data professional, or curious learner, this podcast delivers the knowledge you need to achieve impactful results. For more info visit https://live-g2mai-v4.pantheonsite.io</description>
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		<copyright>© 2025 G2M Insights</copyright>
		<itunes:subtitle>Unlocking actionable insights to drive business success</itunes:subtitle>
		<itunes:author>G2M Insights</itunes:author>
		<itunes:type>episodic</itunes:type>
		<itunes:summary>Welcome to the Insights Achieved Podcast, where we explore cutting-edge strategies and technologies driving business performance and growth. Join industry leaders and experts as they share actionable insights on leveraging AI, data analytics, and innovative methodologies to solve complex challenges. Whether you&#039;re a business executive, data professional, or curious learner, this podcast delivers the knowledge you need to achieve impactful results. For more info visit https://live-g2mai-v4.pantheonsite.io</itunes:summary>
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			<itunes:name>Pierre Elisseeff</itunes:name>
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						<googleplay:description>Welcome to the Insights Achieved Podcast, where we explore cutting-edge strategies and technologies driving business performance and growth. Join industry leaders and experts as they share actionable insights on leveraging AI, data analytics, and innovative methodologies to solve complex challenges. Whether you&#039;re a business executive, data professional, or curious learner, this podcast delivers the knowledge you need to achieve impactful results. For more info visit https://live-g2mai-v4.pantheonsite.io</googleplay:description>
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<item>
	<title>The GTM Death Spiral: More Dashboards, Less Visibility</title>
	<link>https://g2m.ai/gtm-death-spiral-more-dashboards-less-visibility/</link>
	<pubDate>Mon, 05 Jan 2026 20:29:36 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
	<guid isPermaLink="false">1927ba4f-691c-5e28-bcd7-3ebf34e80552</guid>
	<description><![CDATA[<img width="1300" height="717" src="https://g2m.ai/wp-content/uploads/2021/10/AdobeStock_243959675_data-scaled.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" />This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisions. Each post builds toward a practical framework for turning noisy data into decision-ready [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisio]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="1300" height="717" src="https://g2m.ai/wp-content/uploads/2021/10/AdobeStock_243959675_data-scaled.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" />This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisions. Each post builds toward a practical framework for turning noisy data into decision-ready [&#8230;]]]></content:encoded>
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	<itunes:summary><![CDATA[This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisions. Each post builds toward a practical framework for turning noisy data into decision-ready [&#8230;]]]></itunes:summary>
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		<title>The GTM Death Spiral: More Dashboards, Less Visibility</title>
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	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisions. Each post builds toward a practical framework for turning noisy data into decision-ready [&#8230;]]]></googleplay:description>
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<item>
	<title>AI Is Moving Fast But GTM Leaders Are Still Flying Blind</title>
	<link>https://g2m.ai/ai-is-moving-fast-but-gtm-leaders-are-still-flying-blind/</link>
	<pubDate>Thu, 11 Dec 2025 05:00:38 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
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	<description><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2021/10/AdobeStock_163035825-scaled.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2021/10/AdobeStock_163035825-scaled.jpeg 2560w, https://g2m.ai/wp-content/uploads/2021/10/AdobeStock_163035825-650x433.jpeg 650w" sizes="(max-width: 1300px) 100vw, 1300px" />This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisions. Each post builds toward a practical framework for turning noisy data into decision-ready [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisio]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2021/10/AdobeStock_163035825-scaled.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2021/10/AdobeStock_163035825-scaled.jpeg 2560w, https://g2m.ai/wp-content/uploads/2021/10/AdobeStock_163035825-650x433.jpeg 650w" sizes="(max-width: 1300px) 100vw, 1300px" />This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisions. Each post builds toward a practical framework for turning noisy data into decision-ready [&#8230;]]]></content:encoded>
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	<itunes:summary><![CDATA[This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisions. Each post builds toward a practical framework for turning noisy data into decision-ready [&#8230;]]]></itunes:summary>
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	<image>
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	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[This article is part of the Trusted AI for Business Leaders series. In this series, we explore why traditional analytics and generic AI tools are failing executives, and what it takes to build AI systems leaders can actually trust for high-stakes decisions. Each post builds toward a practical framework for turning noisy data into decision-ready [&#8230;]]]></googleplay:description>
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	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
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<item>
	<title>From Scattered AI Experiments to a Coherent Decision Intelligence Capability</title>
	<link>https://g2m.ai/from-scattered-ai-experiments-to-a-coherent-decision-intelligence-capability/</link>
	<pubDate>Fri, 21 Nov 2025 20:58:12 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
	<guid isPermaLink="false">c422bc43-b897-518b-9cb4-9a0fda577b5d</guid>
	<description><![CDATA[<img width="900" height="450" src="https://g2m.ai/wp-content/uploads/2024/06/shutterstock_396846532_900x450.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/06/shutterstock_396846532_900x450.jpg 900w, https://g2m.ai/wp-content/uploads/2024/06/shutterstock_396846532_900x450-768x384.jpg 768w" sizes="(max-width: 900px) 100vw, 900px" />Two conversations that sounded identical Two client conversations recently were almost word-for-word the same. Both businesses are data-rich and expert-heavy. Both have spent real money on AI-related pilots over the past couple of years. Some machine-learning models, some GenAI proof-of-concepts, even early agentic workflows. And both said essentially: “We’re not short on ideas or budget. [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[Two conversations that sounded identical Two client conversations recently were almost word-for-word the same. Both businesses are data-rich and expert-heavy. Both have spent real money on AI-related pilots over the past couple of years. Some machine-lea]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="900" height="450" src="https://g2m.ai/wp-content/uploads/2024/06/shutterstock_396846532_900x450.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/06/shutterstock_396846532_900x450.jpg 900w, https://g2m.ai/wp-content/uploads/2024/06/shutterstock_396846532_900x450-768x384.jpg 768w" sizes="(max-width: 900px) 100vw, 900px" />Two conversations that sounded identical Two client conversations recently were almost word-for-word the same. Both businesses are data-rich and expert-heavy. Both have spent real money on AI-related pilots over the past couple of years. Some machine-learning models, some GenAI proof-of-concepts, even early agentic workflows. And both said essentially: “We’re not short on ideas or budget. [&#8230;]]]></content:encoded>
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	<itunes:summary><![CDATA[Two conversations that sounded identical Two client conversations recently were almost word-for-word the same. Both businesses are data-rich and expert-heavy. Both have spent real money on AI-related pilots over the past couple of years. Some machine-learning models, some GenAI proof-of-concepts, even early agentic workflows. And both said essentially: “We’re not short on ideas or budget. [&#8230;]]]></itunes:summary>
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	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[Two conversations that sounded identical Two client conversations recently were almost word-for-word the same. Both businesses are data-rich and expert-heavy. Both have spent real money on AI-related pilots over the past couple of years. Some machine-learning models, some GenAI proof-of-concepts, even early agentic workflows. And both said essentially: “We’re not short on ideas or budget. [&#8230;]]]></googleplay:description>
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<item>
	<title>Building Trusted AI for Business Insights: Beyond the Hype</title>
	<link>https://g2m.ai/building-trusted-ai-for-business-insights-beyond-the-hype/</link>
	<pubDate>Tue, 16 Sep 2025 11:30:12 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
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	<description><![CDATA[<img width="650" height="650" src="https://g2m.ai/wp-content/uploads/2024/09/cable.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/09/cable.jpg 650w, https://g2m.ai/wp-content/uploads/2024/09/cable-200x200.jpg 200w, https://g2m.ai/wp-content/uploads/2024/09/cable-300x300.jpg 300w, https://g2m.ai/wp-content/uploads/2024/09/cable-500x500.jpg 500w, https://g2m.ai/wp-content/uploads/2024/09/cable-750x750.jpg 750w, https://g2m.ai/wp-content/uploads/2024/09/cable-1000x1000.jpg 1000w, https://g2m.ai/wp-content/uploads/2024/09/cable-1500x1500.jpg 1500w" sizes="(max-width: 650px) 100vw, 650px" />Everybody&#8217;s &#8220;doing AI&#8221;. From Microsoft Copilot to Snowflake Cortex to OpenAI’s latest releases, generative AI (&#8220;gen AI&#8221;) is everywhere. The current narrative says these tools will magically unlock faster answers, sharper insights, and a new era of productivity. But will it though? When finance and revenue operations teams start experimenting, a hard reality sets in. [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[Everybody&#8217;s &#8220;doing AI&#8221;. From Microsoft Copilot to Snowflake Cortex to OpenAI’s latest releases, generative AI (&#8220;gen AI&#8221;) is everywhere. The current narrative says these tools will magically unlock faster answers, sharper ins]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="650" height="650" src="https://g2m.ai/wp-content/uploads/2024/09/cable.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/09/cable.jpg 650w, https://g2m.ai/wp-content/uploads/2024/09/cable-200x200.jpg 200w, https://g2m.ai/wp-content/uploads/2024/09/cable-300x300.jpg 300w, https://g2m.ai/wp-content/uploads/2024/09/cable-500x500.jpg 500w, https://g2m.ai/wp-content/uploads/2024/09/cable-750x750.jpg 750w, https://g2m.ai/wp-content/uploads/2024/09/cable-1000x1000.jpg 1000w, https://g2m.ai/wp-content/uploads/2024/09/cable-1500x1500.jpg 1500w" sizes="(max-width: 650px) 100vw, 650px" />Everybody&#8217;s &#8220;doing AI&#8221;. From Microsoft Copilot to Snowflake Cortex to OpenAI’s latest releases, generative AI (&#8220;gen AI&#8221;) is everywhere. The current narrative says these tools will magically unlock faster answers, sharper insights, and a new era of productivity. But will it though? When finance and revenue operations teams start experimenting, a hard reality sets in. [&#8230;]]]></content:encoded>
	<enclosure url="https://eleven-public-cdn.elevenlabs.io/audio-native/c030daa18432e56993156975574fae9c4fdf8cf8e956008c0897fd466caf4543/6wIOgYP6Wsn0HmnHDW3r/6wIOgYP6Wsn0HmnHDW3r.mp3" length="1" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Everybody&#8217;s &#8220;doing AI&#8221;. From Microsoft Copilot to Snowflake Cortex to OpenAI’s latest releases, generative AI (&#8220;gen AI&#8221;) is everywhere. The current narrative says these tools will magically unlock faster answers, sharper insights, and a new era of productivity. But will it though? When finance and revenue operations teams start experimenting, a hard reality sets in. [&#8230;]]]></itunes:summary>
	<itunes:image href="https://g2m.ai/wp-content/uploads/2024/09/cable.jpg"></itunes:image>
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	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[Everybody&#8217;s &#8220;doing AI&#8221;. From Microsoft Copilot to Snowflake Cortex to OpenAI’s latest releases, generative AI (&#8220;gen AI&#8221;) is everywhere. The current narrative says these tools will magically unlock faster answers, sharper insights, and a new era of productivity. But will it though? When finance and revenue operations teams start experimenting, a hard reality sets in. [&#8230;]]]></googleplay:description>
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<item>
	<title>G2M Insights Appoints Gregg Sutherland Chair of its Board of Advisors</title>
	<link>https://g2m.ai/g2m-insights-appoints-gregg-sutherland-chair-of-its-board-of-advisors/</link>
	<pubDate>Mon, 15 Sep 2025 11:30:04 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
	<guid isPermaLink="false">94a7913b-7d4f-5725-9e83-fe15a987c547</guid>
	<description><![CDATA[<img width="375" height="325" src="https://g2m.ai/wp-content/uploads/2025/09/gregg-sutherland.webp" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" />We’re excited to announce that Gregg Sutherland has joined G2M Insights as Chair of our Board of Advisors! Gregg brings decades of board leadership and strategy experience across technology, media, telecom, and industrial markets. As we continue scaling Overwatch™ and expanding enterprise partnerships, Gregg’s guidance will help us translate AI innovation into measurable go-to-market impact [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[We’re excited to announce that Gregg Sutherland has joined G2M Insights as Chair of our Board of Advisors! Gregg brings decades of board leadership and strategy experience across technology, media, telecom, and industrial markets. As we continue scaling ]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="375" height="325" src="https://g2m.ai/wp-content/uploads/2025/09/gregg-sutherland.webp" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" />We’re excited to announce that Gregg Sutherland has joined G2M Insights as Chair of our Board of Advisors! Gregg brings decades of board leadership and strategy experience across technology, media, telecom, and industrial markets. As we continue scaling Overwatch™ and expanding enterprise partnerships, Gregg’s guidance will help us translate AI innovation into measurable go-to-market impact [&#8230;]]]></content:encoded>
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	<itunes:summary><![CDATA[We’re excited to announce that Gregg Sutherland has joined G2M Insights as Chair of our Board of Advisors! Gregg brings decades of board leadership and strategy experience across technology, media, telecom, and industrial markets. As we continue scaling Overwatch™ and expanding enterprise partnerships, Gregg’s guidance will help us translate AI innovation into measurable go-to-market impact [&#8230;]]]></itunes:summary>
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	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[We’re excited to announce that Gregg Sutherland has joined G2M Insights as Chair of our Board of Advisors! Gregg brings decades of board leadership and strategy experience across technology, media, telecom, and industrial markets. As we continue scaling Overwatch™ and expanding enterprise partnerships, Gregg’s guidance will help us translate AI innovation into measurable go-to-market impact [&#8230;]]]></googleplay:description>
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<item>
	<title>Building Trusted AI for Business Insights: Beyond the Hype</title>
	<link>https://g2m.ai/podcast/building-trusted-ai-for-business-insights-beyond-the-hype/</link>
	<pubDate>Sat, 13 Sep 2025 15:49:58 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
	<guid isPermaLink="false">https://live-g2mai-v4.pantheonsite.io/?post_type=podcast&#038;p=10370</guid>
	<description><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1300x867.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1300x867.jpg 1300w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-650x433.jpg 650w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-325x217.jpg 325w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-300x200.jpg 300w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-500x333.jpg 500w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-750x500.jpg 750w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1000x667.jpg 1000w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1500x1000.jpg 1500w" sizes="(max-width: 1300px) 100vw, 1300px" />In this episode, we confront one of the toughest questions facing executives today: can generative AI really be trusted for business intelligence? While tools like Copilot and Cortex promise quick insights, they often fall short when accuracy, security, and transparency are on the line. We unpack the risks of relying on GenAI for decision making, [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[In this episode, we confront one of the toughest questions facing executives today: can generative AI really be trusted for business intelligence? While tools like Copilot and Cortex promise quick insights, they often fall short when accuracy, security, ]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1300x867.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1300x867.jpg 1300w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-650x433.jpg 650w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-325x217.jpg 325w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-300x200.jpg 300w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-500x333.jpg 500w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-750x500.jpg 750w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1000x667.jpg 1000w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1500x1000.jpg 1500w" sizes="(max-width: 1300px) 100vw, 1300px" />In this episode, we confront one of the toughest questions facing executives today: can generative AI really be trusted for business intelligence? While tools like Copilot and Cortex promise quick insights, they often fall short when accuracy, security, and transparency are on the line. We unpack the risks of relying on GenAI for decision making, [&#8230;]]]></content:encoded>
	<enclosure url="https://episodes.castos.com/67479e772f4253-94458972/2139794/c1e-qqdn3idvm1zb7mqjk-254v7784h0-ymj3rq.mp3" length="7948622" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[In this episode, we confront one of the toughest questions facing executives today: can generative AI really be trusted for business intelligence? While tools like Copilot and Cortex promise quick insights, they often fall short when accuracy, security, and transparency are on the line. We unpack the risks of relying on GenAI for decision making, [&#8230;]]]></itunes:summary>
	<itunes:image href="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover.jpg"></itunes:image>
	<image>
		<url>https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover.jpg</url>
		<title>Building Trusted AI for Business Insights: Beyond the Hype</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:06:38</itunes:duration>
	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[In this episode, we confront one of the toughest questions facing executives today: can generative AI really be trusted for business intelligence? While tools like Copilot and Cortex promise quick insights, they often fall short when accuracy, security, and transparency are on the line. We unpack the risks of relying on GenAI for decision making, [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover.jpg"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>G2M Insights Named to 2025 Inc. 5000 List of America’s Fastest-Growing Private Companies</title>
	<link>https://g2m.ai/g2m-insights-named-to-2025-inc-5000-list-of-americas-fastest-growing-private-companies/</link>
	<pubDate>Tue, 12 Aug 2025 13:38:51 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
	<guid isPermaLink="false">31470340-9f3f-53c2-8d94-f2cc0f047dce</guid>
	<description><![CDATA[<img width="1201" height="867" src="https://g2m.ai/wp-content/uploads/2025/08/Inc.-5000-Color-Medallion-Logo-1201x867.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" />We are thrilled to announce our official inclusion in the prestigious Inc. 5000 list of the fastest-growing private companies in the United States! This recognition by Inc. Magazine marks a significant milestone in our evolution and further solidifies our position as a leader in revenue operations, analytics automation, and go-to-market intelligence. G2M Insights ranked #1,998 [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[We are thrilled to announce our official inclusion in the prestigious Inc. 5000 list of the fastest-growing private companies in the United States! This recognition by Inc. Magazine marks a significant milestone in our evolution and further solidifies ou]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="1201" height="867" src="https://g2m.ai/wp-content/uploads/2025/08/Inc.-5000-Color-Medallion-Logo-1201x867.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" />We are thrilled to announce our official inclusion in the prestigious Inc. 5000 list of the fastest-growing private companies in the United States! This recognition by Inc. Magazine marks a significant milestone in our evolution and further solidifies our position as a leader in revenue operations, analytics automation, and go-to-market intelligence. G2M Insights ranked #1,998 [&#8230;]]]></content:encoded>
	<enclosure url="https://eleven-public-cdn.elevenlabs.io/audio-native/c030daa18432e56993156975574fae9c4fdf8cf8e956008c0897fd466caf4543/JAAkddL0s5j4p9bQrpuq/JAAkddL0s5j4p9bQrpuq.mp3" length="1411190" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[We are thrilled to announce our official inclusion in the prestigious Inc. 5000 list of the fastest-growing private companies in the United States! This recognition by Inc. Magazine marks a significant milestone in our evolution and further solidifies our position as a leader in revenue operations, analytics automation, and go-to-market intelligence. G2M Insights ranked #1,998 [&#8230;]]]></itunes:summary>
	<itunes:image href="https://g2m.ai/wp-content/uploads/2025/08/Inc.-5000-Color-Medallion-Logo.png"></itunes:image>
	<image>
		<url>https://g2m.ai/wp-content/uploads/2025/08/Inc.-5000-Color-Medallion-Logo.png</url>
		<title>G2M Insights Named to 2025 Inc. 5000 List of America’s Fastest-Growing Private Companies</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>0:00</itunes:duration>
	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[We are thrilled to announce our official inclusion in the prestigious Inc. 5000 list of the fastest-growing private companies in the United States! This recognition by Inc. Magazine marks a significant milestone in our evolution and further solidifies our position as a leader in revenue operations, analytics automation, and go-to-market intelligence. G2M Insights ranked #1,998 [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://g2m.ai/wp-content/uploads/2025/08/Inc.-5000-Color-Medallion-Logo.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>OpenAI Wants to Be Your Consultant, But Can It Deliver Trusted AI for Enterprises?</title>
	<link>https://g2m.ai/openai-wants-to-be-your-consultant-but-can-it-deliver-trusted-ai-for-enterprises/</link>
	<pubDate>Mon, 04 Aug 2025 16:38:29 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
	<guid isPermaLink="false">d7c1044c-a218-5c05-b8d1-0252ca6f8d84</guid>
	<description><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-1300x867.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-1300x867.jpg 1300w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-650x433.jpg 650w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-325x217.jpg 325w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-768x512.jpg 768w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-1536x1024.jpg 1536w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-2048x1365.jpg 2048w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-1080x720.jpg 1080w" sizes="(max-width: 1300px) 100vw, 1300px" />As one of Denver’s Fast 50, we&#8217;ve had a front-row seat to a growing trend: the consultancies gaining the most ground are those leading with an engineering-first model, and those best positioned to help enterprises achieve trusted AI at scale.&#160; Since their launch in 2022, LLMs have evolved rapidly from theoretical concepts to mainstream commercial [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[As one of Denver’s Fast 50, we&#8217;ve had a front-row seat to a growing trend: the consultancies gaining the most ground are those leading with an engineering-first model, and those best positioned to help enterprises achieve trusted AI at scale.&#160;]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-1300x867.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-1300x867.jpg 1300w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-650x433.jpg 650w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-325x217.jpg 325w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-768x512.jpg 768w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-1536x1024.jpg 1536w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-2048x1365.jpg 2048w, https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1-1080x720.jpg 1080w" sizes="(max-width: 1300px) 100vw, 1300px" />As one of Denver’s Fast 50, we&#8217;ve had a front-row seat to a growing trend: the consultancies gaining the most ground are those leading with an engineering-first model, and those best positioned to help enterprises achieve trusted AI at scale.&#160; Since their launch in 2022, LLMs have evolved rapidly from theoretical concepts to mainstream commercial [&#8230;]]]></content:encoded>
	<enclosure url="https://eleven-public-cdn.elevenlabs.io/audio-native/c030daa18432e56993156975574fae9c4fdf8cf8e956008c0897fd466caf4543/sMGRNc9tZwCAYpVhMbDO/sMGRNc9tZwCAYpVhMbDO.mp3" length="6729882" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[As one of Denver’s Fast 50, we&#8217;ve had a front-row seat to a growing trend: the consultancies gaining the most ground are those leading with an engineering-first model, and those best positioned to help enterprises achieve trusted AI at scale.&#160; Since their launch in 2022, LLMs have evolved rapidly from theoretical concepts to mainstream commercial [&#8230;]]]></itunes:summary>
	<itunes:image href="https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1.jpg"></itunes:image>
	<image>
		<url>https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1.jpg</url>
		<title>OpenAI Wants to Be Your Consultant, But Can It Deliver Trusted AI for Enterprises?</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>0:00</itunes:duration>
	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[As one of Denver’s Fast 50, we&#8217;ve had a front-row seat to a growing trend: the consultancies gaining the most ground are those leading with an engineering-first model, and those best positioned to help enterprises achieve trusted AI at scale.&#160; Since their launch in 2022, LLMs have evolved rapidly from theoretical concepts to mainstream commercial [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://g2m.ai/wp-content/uploads/2018/05/rawpixel-552390-unsplash-1.jpg"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>AI&#8217;s Impact on Business Performance Measurement</title>
	<link>https://g2m.ai/podcast/ais-impact-on-business-performance-measurement/</link>
	<pubDate>Wed, 04 Jun 2025 13:10:36 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
	<guid isPermaLink="false">https://live-g2mai-v4.pantheonsite.io/?post_type=podcast&#038;p=10179</guid>
	<description><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1300x867.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1300x867.jpg 1300w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-650x433.jpg 650w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-325x217.jpg 325w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-300x200.jpg 300w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-500x333.jpg 500w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-750x500.jpg 750w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1000x667.jpg 1000w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1500x1000.jpg 1500w" sizes="(max-width: 1300px) 100vw, 1300px" />In this podcast episode, we dive into the transformative power of Artificial Intelligence (AI) in reshaping how businesses measure performance. Discover how traditional approaches, often leaving companies &#8220;flying blind&#8221; despite vast data collection, are being revolutionized by real-time interpretation and predictive analytics powered by AI. Learn about the groundbreaking role of knowledge graphs and advanced [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[In this podcast episode, we dive into the transformative power of Artificial Intelligence (AI) in reshaping how businesses measure performance. Discover how traditional approaches, often leaving companies &#8220;flying blind&#8221; despite vast data coll]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1300x867.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1300x867.jpg 1300w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-650x433.jpg 650w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-325x217.jpg 325w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-300x200.jpg 300w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-500x333.jpg 500w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-750x500.jpg 750w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1000x667.jpg 1000w, https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover-1500x1000.jpg 1500w" sizes="(max-width: 1300px) 100vw, 1300px" />In this podcast episode, we dive into the transformative power of Artificial Intelligence (AI) in reshaping how businesses measure performance. Discover how traditional approaches, often leaving companies &#8220;flying blind&#8221; despite vast data collection, are being revolutionized by real-time interpretation and predictive analytics powered by AI. Learn about the groundbreaking role of knowledge graphs and advanced [&#8230;]]]></content:encoded>
	<enclosure url="https://episodes.castos.com/67479e772f4253-94458972/2057934/c1e-nqd97id3j0dcnv6pz-mk46dj0ocz5v-cpa1pu.mp3" length="4217037" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[In this podcast episode, we dive into the transformative power of Artificial Intelligence (AI) in reshaping how businesses measure performance. Discover how traditional approaches, often leaving companies &#8220;flying blind&#8221; despite vast data collection, are being revolutionized by real-time interpretation and predictive analytics powered by AI. Learn about the groundbreaking role of knowledge graphs and advanced [&#8230;]]]></itunes:summary>
	<itunes:image href="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover.jpg"></itunes:image>
	<image>
		<url>https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover.jpg</url>
		<title>AI&#8217;s Impact on Business Performance Measurement</title>
	</image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:07:02</itunes:duration>
	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[In this podcast episode, we dive into the transformative power of Artificial Intelligence (AI) in reshaping how businesses measure performance. Discover how traditional approaches, often leaving companies &#8220;flying blind&#8221; despite vast data collection, are being revolutionized by real-time interpretation and predictive analytics powered by AI. Learn about the groundbreaking role of knowledge graphs and advanced [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://g2m.ai/wp-content/uploads/2024/05/insights-achieved-podcast-cover.jpg"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Why It’s Time to Rethink Decision-Making: Introducing Autonomous Decision Intelligence (ADI)</title>
	<link>https://g2m.ai/why-its-time-to-rethink-decision-making-introducing-autonomous-decision-intelligence-adi/</link>
	<pubDate>Thu, 08 May 2025 21:22:38 +0000</pubDate>
	<dc:creator><![CDATA[G2M Insights]]></dc:creator>
	<guid isPermaLink="false">be4c38cb-167d-5e01-8972-47a09da327c1</guid>
	<description><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-scaled.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-scaled.jpeg 2560w, https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-650x433.jpeg 650w" sizes="(max-width: 1300px) 100vw, 1300px" />In an era where data is abundant but decision velocity remains sluggish, it’s time to confront a hard truth: most enterprise decision-making infrastructure is out of step with the pace of modern business. Spreadsheets and dashboards still dominate how business questions get answered. Traditional BI systems give us retrospective snapshots. Large language models (LLMs) can [&#8230;]]]></description>
	<itunes:subtitle><![CDATA[In an era where data is abundant but decision velocity remains sluggish, it’s time to confront a hard truth: most enterprise decision-making infrastructure is out of step with the pace of modern business. Spreadsheets and dashboards still dominate how bu]]></itunes:subtitle>
	<content:encoded><![CDATA[<img width="1300" height="867" src="https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-scaled.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-scaled.jpeg 2560w, https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-650x433.jpeg 650w" sizes="(max-width: 1300px) 100vw, 1300px" />In an era where data is abundant but decision velocity remains sluggish, it’s time to confront a hard truth: most enterprise decision-making infrastructure is out of step with the pace of modern business. Spreadsheets and dashboards still dominate how business questions get answered. Traditional BI systems give us retrospective snapshots. Large language models (LLMs) can [&#8230;]]]></content:encoded>
	<enclosure url="https://eleven-public-cdn.elevenlabs.io/audio-native/c030daa18432e56993156975574fae9c4fdf8cf8e956008c0897fd466caf4543/DlACHInUwyG3LyLSNPmI/DlACHInUwyG3LyLSNPmI.mp3" length="1" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[In an era where data is abundant but decision velocity remains sluggish, it’s time to confront a hard truth: most enterprise decision-making infrastructure is out of step with the pace of modern business. Spreadsheets and dashboards still dominate how business questions get answered. Traditional BI systems give us retrospective snapshots. Large language models (LLMs) can [&#8230;]]]></itunes:summary>
	<itunes:image href="https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-scaled.jpeg"></itunes:image>
	<image>
		<url>https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-scaled.jpeg</url>
		<title>Why It’s Time to Rethink Decision-Making: Introducing Autonomous Decision Intelligence (ADI)</title>
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	<itunes:explicit>false</itunes:explicit>
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	<itunes:duration>0:00</itunes:duration>
	<itunes:author><![CDATA[G2M Insights]]></itunes:author>	<googleplay:description><![CDATA[In an era where data is abundant but decision velocity remains sluggish, it’s time to confront a hard truth: most enterprise decision-making infrastructure is out of step with the pace of modern business. Spreadsheets and dashboards still dominate how business questions get answered. Traditional BI systems give us retrospective snapshots. Large language models (LLMs) can [&#8230;]]]></googleplay:description>
	<googleplay:image href="https://g2m.ai/wp-content/uploads/2024/09/AdobeStock_305507033_data-board-scaled.jpeg"></googleplay:image>
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