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Industries are facing challenges in the practical and effective adoption of AI, BlueCloud Podcast
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Manage episode 441853828 series 2674324
Indhold leveret af Telecom Reseller. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Telecom Reseller eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Companies are dealing with open model vulnerabilities Bill Tennant Industries are facing challenges in the practical and effective adoption of AI, with 33% of enterprises citing limited AI skills and expertise as a significant challenge. Companies are dealing with open model vulnerabilities. Despite 72% of organizations adopting AI in 2024, integration issues remain a major hurdle, exacerbated by the shortage of skilled personnel. Additionally, the risks associated with generative AI—particularly inaccuracies—necessitate robust strategies for mitigation. Data privacy concerns also arise, as AI’s need for vast data raises privacy and security issues. Furthermore, doubts about cost and ROI are prevalent, given that AI implementation is expensive, with uncertain returns. For example, 25% of IT leaders regret quick AI investments, as AI readiness impacts ROI assessments. Enterprises are discovering the need to shift from outdated models to agile, tech-driven approaches. This Cognitive Digital Revolution demands innovation with systems that drive growth and support the economy. In this podcast, Bill Tennant, BlueCloud’s Chief Revenue Officer outlines these challenges and discusses how BlueCloud helps guide their clients. We discuss: What strategies can enterprises adopt to overcome the integration hurdles associated with AI deployment? In what ways can businesses balance the need for vast data in AI systems with growing data privacy concerns? What measures can organizations take to ensure a clear ROI when investing in AI technologies Can enterprises enhance their AI talent pool to overcome current skill gaps and integration challenges? What role do ethical considerations play in AI implementation, and how can businesses develop a robust strategy to tackle inaccuracies and risks associated with generative AI? About BlueCloud: BlueCloud is not just another entity in the cloud computing space; it stands as a trailblazer in the digital transformation revolution. Positioned as architects of the future, BlueCloud leads the way for enterprises seeking to thrive in the digital age with its bold vision and unwavering commitment to innovation. The company's comprehensive portfolio, encompassing avant-garde AI services, data engineering solutions, and transformative digital strategies, has propelled businesses into a new era, resulting in a staggering 185% year-over-year revenue growth and securing a valuation surpassing $100 million, thanks to its partnership with Hudson Hill Capital. By serving titans of various industries and forging collaborations with technology behemoths like Snowflake and ThoughtSpot, BlueCloud has demonstrated its prowess in navigating the intricacies of the digital domain. More than merely transforming businesses, BlueCloud is on a mission to reshape the digital landscape itself, one innovative cloud solution at a time. About Bill Tennant: Bill Tennant stands at the forefront of BlueCloud as the Chief Revenue Officer, where his nearly 20 years of experience across various industries fuel the company’s growth and innovation. With a decorated background featuring honors like TBBJ 40 under 40 and the CRN Next-Gen Solution Provider Leader, Tennant's leadership has been pivotal in securing BlueCloud’s position as a partner of choice for tech giants. His vision has led to milestones such as the Snowflake Elite Services Partner Designation and numerous awards for channel partnerships. Tennant is an advocate for leveraging Generative AI, Machine Learning, and Data Governance to deliver business value and is open to discussions about joint ventures that push the boundaries of technology and strategy.
…
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51 episoder
MP4•Episode hjem
Manage episode 441853828 series 2674324
Indhold leveret af Telecom Reseller. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Telecom Reseller eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Companies are dealing with open model vulnerabilities Bill Tennant Industries are facing challenges in the practical and effective adoption of AI, with 33% of enterprises citing limited AI skills and expertise as a significant challenge. Companies are dealing with open model vulnerabilities. Despite 72% of organizations adopting AI in 2024, integration issues remain a major hurdle, exacerbated by the shortage of skilled personnel. Additionally, the risks associated with generative AI—particularly inaccuracies—necessitate robust strategies for mitigation. Data privacy concerns also arise, as AI’s need for vast data raises privacy and security issues. Furthermore, doubts about cost and ROI are prevalent, given that AI implementation is expensive, with uncertain returns. For example, 25% of IT leaders regret quick AI investments, as AI readiness impacts ROI assessments. Enterprises are discovering the need to shift from outdated models to agile, tech-driven approaches. This Cognitive Digital Revolution demands innovation with systems that drive growth and support the economy. In this podcast, Bill Tennant, BlueCloud’s Chief Revenue Officer outlines these challenges and discusses how BlueCloud helps guide their clients. We discuss: What strategies can enterprises adopt to overcome the integration hurdles associated with AI deployment? In what ways can businesses balance the need for vast data in AI systems with growing data privacy concerns? What measures can organizations take to ensure a clear ROI when investing in AI technologies Can enterprises enhance their AI talent pool to overcome current skill gaps and integration challenges? What role do ethical considerations play in AI implementation, and how can businesses develop a robust strategy to tackle inaccuracies and risks associated with generative AI? About BlueCloud: BlueCloud is not just another entity in the cloud computing space; it stands as a trailblazer in the digital transformation revolution. Positioned as architects of the future, BlueCloud leads the way for enterprises seeking to thrive in the digital age with its bold vision and unwavering commitment to innovation. The company's comprehensive portfolio, encompassing avant-garde AI services, data engineering solutions, and transformative digital strategies, has propelled businesses into a new era, resulting in a staggering 185% year-over-year revenue growth and securing a valuation surpassing $100 million, thanks to its partnership with Hudson Hill Capital. By serving titans of various industries and forging collaborations with technology behemoths like Snowflake and ThoughtSpot, BlueCloud has demonstrated its prowess in navigating the intricacies of the digital domain. More than merely transforming businesses, BlueCloud is on a mission to reshape the digital landscape itself, one innovative cloud solution at a time. About Bill Tennant: Bill Tennant stands at the forefront of BlueCloud as the Chief Revenue Officer, where his nearly 20 years of experience across various industries fuel the company’s growth and innovation. With a decorated background featuring honors like TBBJ 40 under 40 and the CRN Next-Gen Solution Provider Leader, Tennant's leadership has been pivotal in securing BlueCloud’s position as a partner of choice for tech giants. His vision has led to milestones such as the Snowflake Elite Services Partner Designation and numerous awards for channel partnerships. Tennant is an advocate for leveraging Generative AI, Machine Learning, and Data Governance to deliver business value and is open to discussions about joint ventures that push the boundaries of technology and strategy.
…
continue reading
51 episoder
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