Advances in AI, machine learning, and other technologies have dramatically accelerated the pace of change. In recent years, the convergence of technology and healthcare has led to groundbreaking advancements, especially in supporting children with autism. In today's episode, you'll hear from Darryl Agostinelli, Chief Technology Officer at The New England Center for Children (NECC), where he spearheads initiatives in IT infrastructure, automation, and cybersecurity at NECC. In this episode, he explains how NECC is leveraging technology to build a global network of educators, researchers, and programs aimed at helping individuals with autism lead fuller lives. Join us as we explore the impact of AI on enhancing autism services for kids and delve into futuristic-sounding concepts like technological singularity, superconductivity, quantum supercomputing, and more!   Key Points From This Episode: An introduction to Darryl, his passions for both work and play, and his role at NECC.Insight into NECC’s ACE (Autism Curriculum Encyclopedia) ABA Software System.How AI will augment NECC’s programs and educational tools.Defining “the singularity” and why it’s important for everyone to understand.The risk introduced by singularity and its impact on the world around us.Some of the implications and applications of superconductivity.Quantum supercomputers: what are they and what problems can they solve?Reasons that Darryl remains optimistic about technological innovation.The concerning impact that AI could have on our critical reasoning skills.   Links Mentioned in Today’s Episode: Darryl Agostinelli Darryl Agostinelli on LinkedIn Darryl Agostinelli on GitHub The New England Center for Children The Singularity is Near Google Brain Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X

How can we integrate AI into an organization’s overall strategy to maximize its benefits? In this episode, we continue our deeper takes conversations with guest host Nishit Sadhwani, Corporate Vice President at New York Life Insurance Company, to discuss how the rapid development of generative AI is impacting businesses and the role of CIOs and entrepreneurs in driving innovation. We unpack how AI is disrupting the business landscape – from start-ups to large enterprise organizations – and its impact on innovation, competition and organizational structure, before taking a closer look at how to embrace AI tools for enhanced productivity. Our conversation also investigates the entrepreneurial opportunities created by AI, why larger companies should consider strategic partnerships with startups to accelerate innovation, and much more. For a deep dive into our perspectives on driving innovation and how CIOs and entrepreneurs should be integrating AI for maximum benefit, be sure to tune in!   Key Points From This Episode: How CIOs should approach AI integration for maximum benefits.CIOs' leadership role in demystifying technology for business use.How AI democratizes power and empowers individuals.An overview of the entrepreneurial opportunities created by AI.Challenges that entrepreneurs are going to face in the new world of AI.Ways that AI will generate faster innovation and greater competition.Why disruption is inevitable: the importance of businesses’ willingness to pivot.Adapting business models to leverage AI technologies and stay competitive.How organizations need to rethink their partnerships.Expected radical changes in how tech organizations are structured due to AI.AI’s impact on the workforce, collaboration, and automation.Embracing AI tools to enhance productivity and stay ahead of the competition.   Links Mentioned in Today’s Episode: Nishit Sadhwani on LinkedIn Nishit Sadhwani on X New York Life Insurance Company Episode – Deeper Takes 1 with Nishit Sadhwani: Balancing Innovation and Risk Episode – Deeper Takes 2 with Nishit Sadhwani: Unlocking the Power of Data Elon Musk Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X

Ever wondered what it takes to navigate the dynamic world of tech investing? In this episode, we sit down with Maria Palma to unpack tech investing, AI, and crypto. Maria is a seasoned investor and business leader with a diverse background spanning venture capital, entrepreneurship, and engineering. As a General Partner at Kindred Capital, Maria plays a role in shaping the technology landscape. Kindred Capital is not just a venture capital firm; it's a community of visionaries, innovators, and trailblazers. With a focus on technology and entrepreneurship, Kindred Capital is dedicated to nurturing innovation and driving meaningful change in the startup ecosystem. In our conversation, we explore why companies are hesitant to embrace AI and the advantages it offers both startups and larger enterprises. Dive deep into whether AI will render software developers obsolete and uncover the nuances between regulated and unregulated cryptocurrencies. Maria also talks about the potential intersection of AI and crypto, navigating the technology hype-cycle, the technology sectors she is investing in, the best use cases of AI for enterprise, and much more! Join us as we delve into the dynamic world of technology investing, AI, and cryptocurrency through the lens of a veteran investor, Maria Palma!   Key Points From This Episode: Background about Maria and her passion for technology. What she thinks is the most exciting technology to investors. Her approach to identifying what AI-based technology is investable. Examples of the type of companies she has invested in. Ways AI is shaking up the enterprise and investment landscape. The six areas of AI she is focusing her investment efforts on. AI code generation and its role in software development. Cryptocurrencies and why people should be paying attention to them. Discover the potential intersection of AI and cryptocurrencies. Why understanding a company’s problems is essential for AI adoption. Reasons why she finds small and medium-sized businesses compelling. Maria shares advice for budding crypto investors.   Links Mentioned in Today’s Episode: Maria Palma on LinkedIn Kindred Capital Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X

As we continue to explore the aftermath of the tidal wave that is AI, we are reminded of the challenges that can be found in the wake of the generative AI and large language model explosion. But there are also countless opportunities for innovation and growth, and that is where today’s guest comes in. John Sapone is the Senior Vice President of Sales at Snowflake – a cloud data platform that is secure, governed, and infinitely scalable – and he explains how his time at ServiceNow helps him in his current role at Snowflake. We discuss the state of data today, how John and his team coach organizations in the best practices for data management, and what Snowflake as a company is all about. John walks us through the biggest opportunities that lie ahead for his company, how he and his team breed success, how AI has reshaped business at Snowflake, and how the company aims to solve the mistakes that many organizations are still making around data and AI. We end with John’s advice for business leaders on how to use data and AI effectively and responsibly.    Key Points From This Episode: John Sapone walks us through his background and what he enjoys doing in his downtime.  What he learned during his time at ServiceNow and how it applies to his work at Snowflake. The state of data today, and how he helps companies to evaluate and utilize data efficiently.  Exploring the ins and outs of Snowflake and what the company aims to achieve.  The biggest opportunities that await Snowflake in the next 3-5 years.  Patterns of success that John and his team have awakened at Snowflake How Snowflake has changed since the explosion of generative AI.  The way AI altered Snowflake’s approach to market.  Pitfalls and common mistakes that organizations make that Snowflake can help solve. John’s advice to business leaders on how to use AI responsibly and the best practices for data management.     Links Mentioned in Today’s Episode: John Sapone on LinkedIn  Snowflake  ServiceNow  Frank Slootman on LinkedIn  Nimble Storage  Snowflake Cortex for Generative AI  Adam Granoff on LinkedIn  Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X

Large language models, generative AI – all of it is moving at such blinding speed that it’s difficult to stay on top of the latest developments. As such, we’ve decided that regular check-ins on the state of generative AI is now a necessity rather than a preference so today, we’ve invited Dan Giannone back onto the show to walk us through the current trends he’s seeing in generative AI. Dan is the Cloud Solutions Architect at Microsoft, and after walking us through what his role entails, he explains why consumers don’t know enough about cloud services and what can be done to educate them. Our discussion then turns to the rapid evolution of generative AI, how Dan and his team are keeping customers up-to-date about new innovations, why business leaders need to be less cynical about the big data revolution, how understanding AI is a process and not instant, and how to know when your business is ready to introduce LLMs to its systems. We also discuss what’s missing from the generative AI playbook, the importance of building AI-centered teams, the value of solutions accelerators, and why AI hallucinations shouldn’t be a major concern for businesses. To understand the customer’s role in the effective use of AI, the biggest myths about AI, and how leading technology companies are grappling with the LMM disruption, press play now.        Key Points From This Episode: Dan Giannone’s professional background and what his current role at Microsoft entails.A day in the life of a cloud solutions architect. Why there’s a need to better educate consumers on the finer details of cloud services. The (rapid) evolution of generative AI, and how Dan explains new innovations to customers.Assessing the big data revolution and why business leaders need to be less cynical about it. How using and understanding generative AI is a patient process of collaboration and agility.The balance between adopting LLMs early and ensuring that your business is ready for it.Searching for the missing playbook, and how to build successful AI-centered teams. How solution accelerators can facilitate faster growth.  Understanding one of generative AI’s biggest drawbacks: hallucinations.  The role of consumers in the effective use of generative AI.Talking through some of the biggest mistakes and misconceptions that users have of AI. How big technology leaders are coping (or not coping) with the LMM disruption.    Links Mentioned in Today’s Episode: Dan Giannone on LinkedIn Microsoft  Microsoft Copilot ‘My First RAG Use-Case - Key Insights & Lessons Learned’  ‘Chat with Your Data’ Solution Accelerator  ChatGPT  Perplexity AI Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X

Unlocking the potential of data for AI is akin to discovering the hidden keys to a treasure trove of knowledge. Data serves as the foundation on which AI thrives and evolves. However, not just any data will do. It is the quality of this information that holds the real power. In this episode, we follow on from our deeper takes episode with guest host Nishit Sadhwani, Corporate Vice President at New York Life Insurance Company, to explore the intricate world of data management in AI; unpacking its challenges, nuances, and transformative potential. In our conversation, we discuss the critical challenges that organizations face in handling data for AI development, why data reliability and quality are vital, and the importance of not just the data itself but also the teams that manage it. Gain insights into the governance issues surrounding data management, the steps organizations can take to ensure data integrity, the concept of “destiny data”, and much more. We also discuss the critical intersection of data quality, AI development, and user privacy in today’s ever-evolving tech landscape. To find out how to unlock the potential of data to give your organization the competitive edge it needs, tune in now!   Key Points From This Episode: Challenges organizations face regarding data management in AI. Why good, reliable data is essential to unlocking AI’s potential. The concept of a ‘data mesh’ and sharing data effectively. Discover why the team is just as valuable as data. Adapting data solutions to fit the structure of the organization. Insights into data management governance issues. What organizations can do to ensure the integrity of data. Data quality and how it impacts AI development. Ensuring user privacy while enhancing AI capabilities. How AI can be leveraged to solve user privacy problems. Leveraging existing data with AI to gain a competitive advantage. Final takeaways and words of advice for listeners.   Links Mentioned in Today’s Episode: Nishit Sadhwani on LinkedIn Nishit Sadhwani on X New York Life Insurance Company Episode – Deeper Takes 1 with Nishit Sadhwani: Balancing Innovation and Risk Episode – Bill White On Destiny Data & Its Impacts on Business and Technology Strategy Episode – AI and Its Impact on Business with John de Havilland Copilot for Microsoft 365  Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X

During this episode, Jeff Kauflin, journalist at Forbes, joins us to share his perspective on the areas he covers. Tuning in, you’ll hear Jeff define the basic concepts of bitcoin and ethereum, along with his predictions on how each will continue to evolve. We explore how Jeff chooses which companies to highlight and some of the metrics he uses to predict their future growth. This episode also discusses the influence and potential threat of AI to fintech and journalism, and what may happen to NFTs in the future. Listeners will also hear Jeff’s perspective on how AI could facilitate financial fraud and how best to protect yourself and your company from the risks it poses. Tune in for a value-packed episode filled with essential insights from today’s expert guest.    Key Points From This Episode: Introducing Jeff Kauflin, journalist at Forbes.  His deserted island books including Michener, Ralph Waldo Emerson, and the New Yorker. His role at Forbes, reporting on fintech and crypto.  The challenge of drawing out key stories in the fintech and crypto space including personal finance and insure tech.  Factors that set companies apart to introduce to readers. Why the impact of AI on fintech is slower than expected. How fintech is using generative AI.  Why Jeff doesn’t see AI as a threat to the industry.  How AI could create efficiencies for journalists.  How Jeff would set about to explain exactly what bitcoin and ethereum is to a beginner. His predictions on how this industry will continue to evolve. What he expects from the future of NFTs. The impact of AI on financial fraud. How to protect yourself and your company from the risk of financial fraud.   Links Mentioned in Today’s Episode: Jeff Kauflin on LinkedIn Jeff Kauflin Blog Jeff Kauflin on X James Michener on Amazon Ralph Waldo Emerson on Amazon The New Yorker The Fintech 50 April Tax Column Tax How AI is Supercharging Financial Fraud and Making it Harder to Spot Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X

It seems like AI is breaking new ground every other day. And while it can be tempting to pursue and implement all these innovations, it’s important to balance this impulse with considered risk management. This is the perspective of Nishit Sadhwani, Corporate Vice President at New York Life Insurance Company. Nishit joins us today to investigate the approach companies should be taking when it comes to balancing risk and innovation within the AI revolution. Tune in as we break down regulation and ethics in AI, why companies need to actively engage with how they want to operate this new technology, and why it should be a human being running AI and not the other way around. We unpack self-regulation within companies, how this helps governments implement more sophisticated regulations, and why we’re more likely to see rogue activity within the startup sector. Our conversation also explores the question of ethical practices and boundaries when using AI, what large companies like Microsoft are doing to guide their AI development, and how large enterprise companies can embrace this new tech without putting everything at risk. Join us today to hear all the details of what you should be taking into account when balancing innovation, risk management, AI implementation, and more! Key Points From This Episode: Get to know today’s guest, Nishit Sadhwani. Insight into balancing innovation and risk in the AI revolution. An overview of the emerging regulatory landscape when it comes to AI. The responsibility of corporations to implement self-regulation. Reflections on startups, AI, and why rogue activity is more likely in this sector. Ethical practices and boundaries when using AI. The set of principles Microsoft has laid out to guide all their AI development. Why companies need to be considering how they will address AI. How AI is expected to impact traditional businesses. Unpacking the future impacts of the metaverse. Why large companies can embrace this new technology without putting everything at risk.   Links Mentioned in Today’s Episode: Nishit Sadhwani on LinkedIn Nishit Sadhwani on X 'Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality' 'Bill Gates says today’s software is still 'pretty dumb,' but believes AI will ‘utterly change how we live our lives' Navigating the Metaverse and AI with Yoav Shapira Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X

The impact of AI on business is multifaceted, with the potential for both positive and negative consequences. Successful integration of AI technologies requires careful planning, investment, and ongoing evaluation to ensure that AI aligns with a company's goals and values while delivering tangible benefits. John de Havilland, General Manager of Digital and App Innovation, joins us to discuss the ins and outs of AI and its impact on businesses. John is a passionate advocate for driving innovation in the digital and app landscape. He has a strong focus on developers, serverless computing, software development, and Microsoft Azure. With several years of experience in the tech industry, he has had the privilege of contributing to the world of cloud computing, digital transformation, and AI. In our conversation, we discuss how organizations can best equip themselves to harness the potential of AI, the fine balance between driving innovation and ensuring robust risk management, and the power of AI in code generation. We delve into the fascinating world of leveraging AI to reverse engineer legacy code and discuss how developers should approach the integration of AI into existing software. Gain cutting-edge insights into leveraging AI to generate synthetic data, the integration of AI into Microsoft Office 365, and much more! Tune in and discover how AI is driving innovation and evolving in the business landscape with John de Havilland!   Key Points From This Episode: Background about John and insights into personal life. The power of leveraging AI for generating code.  A real-world example of using AI for developing code effectively. Leveraging AI and LLMs to reverse engineer legacy code. How developers should think about integrating AI into existing software. Enabling experimentation while safeguarding the organization. Discover how organizations should prepare for the AI revolution. Balancing driving innovation with risk management. Using generative AI to develop synthetic data. Democratizing generative AI and the broader impact on society. Hear about the ways AI is being integrated into Microsoft Office 365. Recommendations for hiring a suitable generative AI application developer. Tips and tricks to stay ahead in the AI race. How younger generations should be thinking about AI.   Links Mentioned in Today’s Episode: John de Havilland John de Havilland on LinkedIn John de Havilland on X John de Havilland on YouTube Microsoft Microsoft Azure Deep Takes, Not Fakes: Episode 3 Microsoft Office 365 HackerNoon Deep Takes, Not Fakes Deep Takes, Not Fakes on Instagram Deep Takes, Not Fakes on Facebook Deep Takes, Not Fakes on X Adam Granoff on LinkedIn Dave Castellani on LinkedIn

Just a decade ago, artificial intelligence seemed like something straight out of a science fiction film. Now, we use it in our everyday lives without even realizing it. What does the next 10 years of AI innovation look like? And how can we maximize it in the present? To answer these questions, we sit down with world-renowned futurist Roxane Googin, an authority on macroeconomic technology trends and the Chief Futurist of Group 11, one of Silicon Valley’s most sought-after FinTech investors. Roxane’s predictions include the internet boom during the collapse of LTCM in 1998, the subsequent dot-com bubble crash in September 2000, and the introduction of smartphones and cloud computing in May 2002, to name but a few. In this episode, she shares her perspective on how technology emerges and where we are on the AI journey, from autonomous driving to everyday productivity tools. Tune in to find out how Roxane believes the workforce will evolve, who she is hedging her optimistic bets for the future on, and her advice for business leaders who want to maximize the capabilities of AI, plus so much more!   Key Points From This Episode: Chaos and pre-generative AI: why Roxane isn’t a fan of autonomous driving. How Roxane cuts through the noise to predict the future of tech. Why she believes that we’re facing a labor crisis when AI offers such a productivity boost. The young, empathetic innovators that her optimism for the future is rooted in. Advice for CIOs looking to survive digital transformation. New use cases for AI and why Roxane says we have to “crawl before we can run.” What taking psychedelics like psilocybin has taught Roxane about AI models. Defining consciousness and whether or not AI architecture can ever support it. How business leaders can maximize their thinking about AI and take effective action.   Links Mentioned in Today’s Episode: Roxane Googin Bio Group 11 Adam Granoff on LinkedIn Dave Castellani on LinkedIn

Companies are managing more digital data than ever before. And organizing that data effectively is critical for a range of functions, like improving data retrieval efficiency, supporting analytics, enhancing overall data quality, and much more. So how should business leaders be approaching this? And what is the best way to incorporate data organization solutions and AI into their business and technology strategies? Joining us today to explore all of these questions and share his expertise is Bill White. Bill has a long and varied career in business as a VP, CIO, and Advisor for esteemed companies such as SEAL Consulting and Las Vegas Sands Corporation, among others. In our conversation, Bill unpacks why not all data is created equal, the specifics of destiny data, and the critical impact of this data on business and technology strategies. We hear from Bill about how to take a triage approach when instituting AI within your organization and how this can help you implement the most comprehensive strategy possible. Bill also breaks down how innovation is being democratized with the help of ever-improving technological tools before explaining what this means for industry leaders and executives. To hear all of Bill's insightful observations and advice on the importance of data organization solutions and incorporating new technologies into your business strategy, be sure to tune in today! Key Points From This Episode: Get to know today’s guest, Bill White, and his varied career. How Bill is using AI to help manage his golf league. Misunderstandings at the corporate and board level around data and AI. Steps that companies can take towards data organization solutions. An overview of destiny data, its distribution, and how to have good governance. How limited budgets hamper a company’s ability to move forward. Advancing the goals of your company as a senior leader. Ensuring you don’t mess up corporate data when experimenting with AI. Taking a triage approach to instituting AI within your organization. Democratizing innovation and how leaders should approach this. How to prepare for the next upcycle in your industry.   Links Mentioned in Today’s Episode: Bill White on Linkedin Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes Not Fakes Deep Takes Not Fakes on Instagram Deep Takes Not Fakes on Facebook Deep Takes Not Fakes on X

Join Dave Castellani and Adam Granoff in an exhilarating episode as they journey into the awe-inspiring realms of the metaverse and artificial intelligence. With the brilliant Yoav Shapira from Meta as their guide, they unravel the future of interconnected virtual universes and the groundbreaking role of AI. Yoav is a serial entrepreneur, advisor, and investor with a strong background in technology startups and product development. He has been involved in various successful startups and played essential roles in companies like CarGurus, HubSpot, Instagram, and currently, Meta (formerly known as Facebook), where he serves as the Director of Engineering. In today’s episode, we dive into what the metaverse actually is, how the virtual landscape will evolve, and the different applications of the metaverse in a business context. We also discuss the technical and engineering challenges of the metaverse, why hardware and software are equally important, the limitations of AI and the metaverse, how businesses can leverage the tech revolution, and much more! Tune in to immerse yourself in a fascinating conversation that unveils the limitless possibilities of innovation and will ensure you stay at the forefront of the metaverse and AI revolution with Yoav Shapira!   Key Points From This Episode: A brief background on Yoav and his passion for endurance sports. Why he finds endurance sports so appealing and gratifying. Unpacking the definition of the metaverse and what to expect in the future. What Meta hopes to achieve with the metaverse. Meta’s approach to work ethic, work structure, and working remotely.  An outline of the business and collaborative applications of the metaverse. Challenges of tricking the mind into making the metaverse seem real. How companies should be approaching the metaverse and AI. Insights into the practicality of LLMs and AI for software engineering. Ways technology has altered standard business practices and strategies. Tips for staying current in today’s ever-evolving technology landscape!   Links Mentioned in Today’s Episode: Yoav Shapira Yoav Shapira on LinkedIn Yoav Shapira on Instagram Yoav Shapira on X Meta Meta Careers David Goggins John Carmack on X Lama AI GitHub Copilot Adam Granoff on LinkedIn Dave Castellani on LinkedIn Deep Takes Not Fakes Deep Takes Not Fakes on Instagram Deep Takes Not Fakes on Facebook Deep Takes Not Fakes on X

Welcome to the debut episode of Deep Takes, Not Fakes Podcast with your hosts, Dave Castellani and Adam Granoff. In this thought-provoking episode, Dave and Adam kickstart their journey into the world of emerging technology by exploring the fundamentals and dispelling common misconceptions of artificial intelligence (AI). Dave and Adam are technology leaders with extensive experience in tech strategy and implementation. In this eye-opening conversation, Dave and Adam lay the foundation for their podcast’s mission: to explore the profound implications of technology on society, business, ethics, and more. They discuss their backgrounds and the passion that drives them to decipher the complexity of technology, ensuring that listeners are armed with credible insights rather than falling for the allure of misinformation. They also provide an accessible overview of AI concepts, ensuring that both tech-savvy listeners and newcomers can grasp the basics. They discuss creating a bridge between technology and business, why quality data and effective data management are so essential, deep learning and neural networks, the arms race of AI, and much more. Whether you’re a tech expert, a curious learner, or just someone intrigued by the future, Dave and Adam have you covered with insights to help you demystify the AI landscape. Tune in now!   Key Points From This Episode: Introducing Adam and Dave and their professional backgrounds. Overview of the podcast and what listeners can expect. Insights into AI and the impact it is having on businesses. We unpack the different forms of AI and machine learning. Highlights of emerging technology, such as generative AI. Common misconceptions surrounding AI and machine learning. The biggest hurdle for AI: quality data and management. Applications of artificial intelligence and machine learning. Opportunities and threats of AI and machine learning. Effective strategies for businesses to adopt and implement AI.   Links Mentioned in Today’s Episode: Adam Granoff on LinkedIn Dave Castellani on LinkedIn New York Life  Brewer Lane Ventures Microsoft OpenAI