Ahead of the Pack https://www.cio.com/podcast/aheadofthepack/ en Copyright Foundry | Sponsored Content - All rights reserved. Enterprises are looking for ways to capitalize on data to improve business agility. Innovations in cloud, analytics, and machine learning are the accelerants behind these opportunities. Join host Tim Crawford for compelling discussions with industry experts on how enterprises are leveraging advanced analytics and machine learning in the cloud to rethink how they do business with data-driven transformation. https://megaphone.imgix.net/podcasts/78aac9ce-d28f-11ea-91c1-0feec8fe243a/image/59024a9af2686b53215b9780af3ff474.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress Ahead of the Pack https://www.cio.com/podcast/aheadofthepack/ no episodic How data and machine learning are coming together in the cloud to accelerate business agility CIO.com/FoundryCo Inc. Enterprises are looking for ways to capitalize on data to improve business agility. Innovations in cloud, analytics, and machine learning are the accelerants behind these opportunities. Join host Tim Crawford for compelling discussions with industry experts on how enterprises are leveraging advanced analytics and machine learning in the cloud to rethink how they do business with data-driven transformation. Enterprises are looking for ways to capitalize on data to improve business agility. Innovations in cloud, analytics, and machine learning are the accelerants behind these opportunities. Join host Tim Crawford for compelling discussions with industry experts on how enterprises are leveraging advanced analytics and machine learning in the cloud to rethink how they do business with data-driven transformation.

]]> Foundry podcasts@foundryco.com Episode 6: From data literacy to data proficiency https://www.cio.com/article/3571439/episode-6-from-data-literacy-to-data-proficiency.html There’s a lot of talk about data literacy in the enterprise. Ishit Vachhrajani, Enterprise Strategist at Amazon Web Services (AWS) and the former Global CTO at A+E Networks, prefers the term “data proficiency.” “It’s not just about being data-aware or being data-informed, but really developing proficiency to put that data to use, and do that at scale,” Vachhrajani told Tim Crawford in Episode 6 of the Ahead of the Pack podcast. Data proficiency should apply across the enterprise, beginning with the C-suite and extending beyond the roles that traditionally deal with data, he said. But the challenge for many organizations is infusing this mindset. Fri, 21 Aug 2020 16:00:00 -0000 From data literacy to data proficiency full 6 CIO.com/FoundryCo Inc. Establishing a “business-backwards” foundation for a data-driven culture There’s a lot of talk about data literacy in the enterprise. Ishit Vachhrajani, Enterprise Strategist at Amazon Web Services (AWS) and the former Global CTO at A+E Networks, prefers the term “data proficiency.” “It’s not just about being data-aware or being data-informed, but really developing proficiency to put that data to use, and do that at scale,” Vachhrajani told Tim Crawford in Episode 6 of the Ahead of the Pack podcast. Data proficiency should apply across the enterprise, beginning with the C-suite and extending beyond the roles that traditionally deal with data, he said. But the challenge for many organizations is infusing this mindset. There’s a lot of talk about data literacy in the enterprise. Ishit Vachhrajani, Enterprise Strategist at Amazon Web Services (AWS) and the former Global CTO at A+E Networks, prefers the term “data proficiency.”

“It’s not just about being data-aware or being data-informed, but really developing proficiency to put that data to use, and do that at scale,” Vachhrajani told Tim Crawford in Episode 6 of the Ahead of the Pack podcast.

Data proficiency should apply across the enterprise, beginning with the C-suite and extending beyond the roles that traditionally deal with data, he said. But the challenge for many organizations is infusing this mindset.

]]> 1539 no Episode 5: T-Mobile calls on machine learning to boost CX https://www.cio.com/article/3571434/t-mobile-calls-on-machine-learning-to-boost-cx.html The best applications of machine learning occur when algorithms augment human activities instead of replacing them. That’s the case with T-Mobile, which has deployed machine learning to help contact center agents better serve customers. In this episode of the Ahead of the Pack podcast, Heather Nolis, Senior Software Engineer with T-Mobile, talks with Tim Crawford about the telecommunications company’s approach to artificial intelligence and machine learning and the impact they’re seeing across the business. Mon, 17 Aug 2020 16:00:00 -0000 T-Mobile calls on machine learning to boost CX full 5 CIO.com/FoundryCo Inc. ML improves engagement between care agents and customers The best applications of machine learning occur when algorithms augment human activities instead of replacing them. That’s the case with T-Mobile, which has deployed machine learning to help contact center agents better serve customers. In this episode of the Ahead of the Pack podcast, Heather Nolis, Senior Software Engineer with T-Mobile, talks with Tim Crawford about the telecommunications company’s approach to artificial intelligence and machine learning and the impact they’re seeing across the business. The best applications of machine learning occur when algorithms augment human activities instead of replacing them. That’s the case with T-Mobile, which has deployed machine learning to help contact center agents better serve customers.

In this episode of the Ahead of the Pack podcast, Heather Nolis, Senior Software Engineer with T-Mobile, talks with Tim Crawford about the telecommunications company’s approach to artificial intelligence and machine learning and the impact they’re seeing across the business.

]]> 1117 no Episode 4: Why your one-size-fits-all database infrastructure won’t cut it in the modern world https://www.cio.com/article/3571457/episode-4-why-your-one-size-fits-all-database-infrastructure-won-t-cut-it-in-the-modern-world.html The cloud has disrupted every element of the technology stack, including databases. The days of expecting one monolithic database to serve all of an organization’s needs are quickly drawing to a close, in favor of purpose-built databases and tools that address specific use cases. “It is no longer a one-size fits all world,” Shawn Bice, Vice President, Databases at AWS, said in Episode 3 of the new Ahead of the Pack podcast series. “While the way we built applications for the past 30 years may be familiar, don’t let that turn into a blind spot that stifles future innovation.” Bice said any concern about moving business-critical workloads to cloud-native architectures should be tempered by all of the learnings gathered from early adopters. “You have an amazing opportunity to learn from the first movers,” he said. “How they built applications for the cloud is vastly different than traditional application development. A lot of these early adopters have carved out the lanes to follow.” Instead of purchasing technology and expecting it to solve a variety of problems, modern environments allow IT teams to start with the use case and then pick the right technology to solve the problem. “Always start with the business problem,” Bice said. “That might sound trivial, but when you truly understand the use case, that lets you think about the access pattern. That leads you to find the database API that’s most specialized for that access pattern.” With this approach, he added, “you’re putting yourself in a position to innovate faster than ever before, at a lower cost, with a faster time to market, because you’re not limited by any one thing you can do.” Fri, 14 Aug 2020 16:00:00 -0000 Why your one-size-fits-all database infrastructure won’t cut it in the modern world full 4 CIO.com/FoundryCo Inc. Cloud-native, purpose-built databases provide near-limitless scale and increase the pace of innovation The cloud has disrupted every element of the technology stack, including databases. The days of expecting one monolithic database to serve all of an organization’s needs are quickly drawing to a close, in favor of purpose-built databases and tools that address specific use cases. “It is no longer a one-size fits all world,” Shawn Bice, Vice President, Databases at AWS, said in Episode 3 of the new Ahead of the Pack podcast series. “While the way we built applications for the past 30 years may be familiar, don’t let that turn into a blind spot that stifles future innovation.” Bice said any concern about moving business-critical workloads to cloud-native architectures should be tempered by all of the learnings gathered from early adopters. “You have an amazing opportunity to learn from the first movers,” he said. “How they built applications for the cloud is vastly different than traditional application development. A lot of these early adopters have carved out the lanes to follow.” Instead of purchasing technology and expecting it to solve a variety of problems, modern environments allow IT teams to start with the use case and then pick the right technology to solve the problem. “Always start with the business problem,” Bice said. “That might sound trivial, but when you truly understand the use case, that lets you think about the access pattern. That leads you to find the database API that’s most specialized for that access pattern.” With this approach, he added, “you’re putting yourself in a position to innovate faster than ever before, at a lower cost, with a faster time to market, because you’re not limited by any one thing you can do.” The cloud has disrupted every element of the technology stack, including databases. The days of expecting one monolithic database to serve all of an organization’s needs are quickly drawing to a close, in favor of purpose-built databases and tools that address specific use cases.

“It is no longer a one-size fits all world,” Shawn Bice, Vice President, Databases at AWS, said in Episode 3 of the new Ahead of the Pack podcast series. “While the way we built applications for the past 30 years may be familiar, don’t let that turn into a blind spot that stifles future innovation.”

Bice said any concern about moving business-critical workloads to cloud-native architectures should be tempered by all of the learnings gathered from early adopters.

“You have an amazing opportunity to learn from the first movers,” he said. “How they built applications for the cloud is vastly different than traditional application development. A lot of these early adopters have carved out the lanes to follow.”

Instead of purchasing technology and expecting it to solve a variety of problems, modern environments allow IT teams to start with the use case and then pick the right technology to solve the problem.

“Always start with the business problem,” Bice said. “That might sound trivial, but when you truly understand the use case, that lets you think about the access pattern. That leads you to find the database API that’s most specialized for that access pattern.”

With this approach, he added, “you’re putting yourself in a position to innovate faster than ever before, at a lower cost, with a faster time to market, because you’re not limited by any one thing you can do.”

]]> 1355 no Episode 3: Formula 1’s Need for Speed with Machine Learning https://www.cio.com/article/3569174/episode-3-formula-1-s-need-for-speed-with-machine-learning.html How the auto racing brand is using data and machine learning to change the experience both on the track and in the stands. Mon, 10 Aug 2020 16:00:00 -0000 Formula 1’s Need for Speed with Machine Learning full 3 CIO.com/FoundryCo Inc. How the auto racing brand is using data and machine learning to change the experience both on the track and in the stands. How the auto racing brand is using data and machine learning to change the experience both on the track and in the stands.

]]> 1721 no Episode 2: Trust your data https://www.cio.com/article/3569572/episode-2-trust-your-data.html CIOs and their C-suite colleagues understand the value of data. Many have also come to realize that legacy IT infrastructure is not sufficiently flexible or scalable to help them turn data into insights and actions that benefit the business. In Episode 2 of the AWS-sponsored Ahead of the Pack podcast, host Tim Crawford talks with two experts on the building a modern data architecture: Herain Oberoi, GM of Databases, Analytics, and Blockchain Marketing with AWS, and Elliott Cordo, VP of Technology Insights with Equinox Media, part of the Equinox Group of lifestyle and fitness brands. Fri, 07 Aug 2020 16:00:00 -0000 Trust your data full 2 CIO.com/FoundryCo Inc. How enterprises are leveraging modern data architectures to accelerate their business CIOs and their C-suite colleagues understand the value of data. Many have also come to realize that legacy IT infrastructure is not sufficiently flexible or scalable to help them turn data into insights and actions that benefit the business. In Episode 2 of the AWS-sponsored Ahead of the Pack podcast, host Tim Crawford talks with two experts on the building a modern data architecture: Herain Oberoi, GM of Databases, Analytics, and Blockchain Marketing with AWS, and Elliott Cordo, VP of Technology Insights with Equinox Media, part of the Equinox Group of lifestyle and fitness brands. CIOs and their C-suite colleagues understand the value of data. Many have also come to realize that legacy IT infrastructure is not sufficiently flexible or scalable to help them turn data into insights and actions that benefit the business.

In Episode 2 of the AWS-sponsored Ahead of the Pack podcast, host Tim Crawford talks with two experts on the building a modern data architecture: Herain Oberoi, GM of Databases, Analytics, and Blockchain Marketing with AWS, and Elliott Cordo, VP of Technology Insights with Equinox Media, part of the Equinox Group of lifestyle and fitness brands.

]]> 1707 no Episode 1: Beyond chatbots: Machine learning’s profound impact on modern business https://www.cio.com/article/3569132/episode-1-beyond-chatbots-machine-learning-s-profound-impact-on-modern-business.html Enterprises are looking for ways to capitalize on data to accelerate their business agility. Artificial intelligence (AI) and machine learning (ML) are playing a significant role in helping organizations capture these opportunities. In the first episode of the new podcast series, Ahead of the Pack, Sri Elaprolu, Senior Manager of the Amazon Machine Learning Solutions Lab, speaks with host Tim Crawford about the promise of ML and the real-world business benefits it brings to the enterprise. Fri, 31 Jul 2020 19:23:00 -0000 Beyond chatbots: Machine learning’s profound impact on modern business full 1 CIO.com/FoundryCo Inc. Enterprises are looking for ways to capitalize on data to accelerate their business agility. Artificial intelligence (AI) and machine learning (ML) are playing a significant role in helping organizations capture these opportunities. In the first episode of the new podcast series, Ahead of the Pack, Sri Elaprolu, Senior Manager of the Amazon Machine Learning Solutions Lab, speaks with host Tim Crawford about the promise of ML and the real-world business benefits it brings to the enterprise. Enterprises are looking for ways to capitalize on data to accelerate their business agility. Artificial intelligence (AI) and machine learning (ML) are playing a significant role in helping organizations capture these opportunities.

In the first episode of the new podcast series, Ahead of the Pack, Sri Elaprolu, Senior Manager of the Amazon Machine Learning Solutions Lab, speaks with host Tim Crawford about the promise of ML and the real-world business benefits it brings to the enterprise.

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