Your AI Injection

This week we’ll be exploring how AI is helping to transform sales engagement with Laxman Papineni, CEO of Outplay. Outplay is a smart sales platform that automates and personalizes sequential sales communications based on past correspondence and personal interests. Laxman is a self-proclaimed “startup addict” who has founded multiple sales and marketing related ventures.

Laxman begins by discussing how he initially began in B2B sales, then goes onto elaborate on how Outplay leverages NLP to guide you through the sales cycle and transforms your correspondence. Deep and Laxman then go into detail about how tonal analysis and generative AI allow for the platform’s personalization & automation capabilities, increasing the user’s amount of qualified leads.

Learn more about Laxman here: https://www.linkedin.com/in/laxmanpapineni/
and Outplay here: https://outplayhq.com/

This week we’ll be diving into the role of AI in education with Craig Jones, CEO of Formative. Formative is a web-app for classrooms that gives teachers the virtual tools necessary to engage, instruct, and assess students to optimize teaching outcomes. In this episode, Deep and Craig will discuss how COVID-19 helped facilitate the adoption of automation in the education space, student's mental health regarding digital learning, and how platforms like Formative may help augment some of COVID-19's impact on the education world. 

Craig begins by discussing about how he got passionate about education, what motivated him to found Formative, and how Formative improves on traditional learning through asynchronous instruction, teacher-student interaction, and longitudinal analysis of student growth.  

Learn more about Craig here: https://www.linkedin.com/in/craigcarterjones/  
and Formative here: https://www.formative.com/

Learn how AI can help transform unstructured enterprise and business process automation data into valuable insights with Slater Victoroff, founder and CEO of Indico. Indico is an Enterprise AI Solution for unstructured content, with a focus on document understanding and process automation. In this episode, Deep and Slater discuss the fundamentals of multi-persona data science platforms, the complexities of defining and building models for unstructured data, and deep dive into the advantages of hierarchical labelling and a multi-label approach. 

Slater begins by discussing what motivated him to found Indico, and talks about how Indico’s unstructured data platform allows enterprises of all sizes to automate, analyze, & apply unstructured data to a wide variety of workflows. 

Learn more about Slater here: https://www.linkedin.com/in/slatervictoroff/ and Indico here: https://indicodata.ai/

The financial industry has changed dramatically over the last few decades thanks to developments in technology, providing us with modern conveniences like online banking. Now, AI provides the potential for even more innovation and security through services such as Inscribe, a FinTech company where this week’s guest, Conor Burke, serves as CTO. 

Conor starts by teaching us about types of fraud and traditional methods of catching fraudsters, as well as how AI is enabling identification of fraudulent customers despite the growing complexity of fraud schemes. Then, Deep and Conor dive into the sharing of data used to perpetuate or curtail fraud and why bad actors might actually be collaborating more effectively than good actors such as Inscribe.

Learn more about Conor here: https://www.linkedin.com/in/conorbrk/ 

How can the often dreaded commute be transformed into a more efficient, productive experience that simultaneously tackles the climate crisis? The answer may lie with smart commuting technologies enabled by AI and machine learning. This episode, we speak with Corey Tucker, Director of Innovation at RideAmigos, about AI and smart commuting.

Corey explains how AI can be harnessed to track daily habits and provide users with optimized personal commuting strategies, many of which utilize shared transportation to reduce carbon emissions. Deep and Corey also touch on how the COVID-19 pandemic has changed the approach to solving commuting problems and highlighted the need for flexibility of work hours and commuting options. As we learn, improvements in AI-powered smart commuting technology and increased data homogeneity promise radical, positive change in the way that we approach commuting.

Learn more about Corey here: https://www.linkedin.com/in/corey-tucker-40b60424/ 

Why is trust so critical in the integration of AI into existing chemical engineering technology? In this episode, we explore the role of AI and machine learning in chemical engineering with Dr. Sebastian Werner. Dr. Werner has a doctorate degree in chemical engineering and currently works as an AI Evangelist at Dataiku, a data science and machine learning platform that designs, deploys, and manages AI applications.

Dr. Werner explains how AI-enabled predictive maintenance, regression, and time series forecasting improves efficiency of chemical engineering operations. He and Deep touch on the challenges of bridging the divide between operational and informational technology, and why this has slowed the integration of AI into manufacturing.  Finally, Dr. Werner speculates about the future role of AI in manufacturing, as well as how the global push for sustainability will influence the development of new technology.

Learn more about Dr. Werner here: https://www.linkedin.com/in/sebastianwerner/?originalSubdomain=de 

How can polluting oil companies possibly achieve net zero emissions? In this episode, we hear from Carolina Torres, Executive Director of Energy Industry Transformation at Cognite, about the ambitious promises made by energy companies and how AI is making it possible to meet those efficiency and sustainability goals.   

Carolina and Deep dive into the details of energy production, oil rigs, and emissions in the context of AI. Carolina explains why the energy industry has struggled to leverage AI and how industrial data contextualization improves the safety and sustainability of operations. Finally, she touches on the future of sustainable energy production, including how to make Carbon Capture and Sequestration and other emission-reducing practices profitable.

Learn more about Carolina here: https://www.linkedin.com/in/carolinatorres88/ 

As AI becomes increasingly powerful, concerns about abuses grow. Consideration of the potential of future AI innovations leaves us with a burning question: does AI require regulation, and if so, how should AI be regulated and who should make those decisions? In this episode, we speak with Dr. Rowena Rodrigues, Head of Innovation and Research at Trilateral Research, a UK based organization that provides ethical AI software solutions. 

Deep and Dr. Rodrigues discuss the importance of data transparency and how to balance innovation and regulation.  They also speculate about what it might take for stricter regulatory legislation in AI to be enforced and how these regulations might evolve over the next decade.

Want to dive deeper? Explore some of the topics introduced by Dr. Rodrigues below:

• EU AI Act proposal: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021PC0206
• SIENNA project: https://www.sienna-project.eu 
• SHERPA project: https://www.project-sherpa.eu 

What do data centers loaded on tractor trailers with self destruct buttons in war zones have to do with ML models built from networks of hospital data? Join us in this fascinating episode as Deep speaks with Dr. David Bauer, Co-founder and CTO of BOSS AI. Dr. Bauer shares colorful stories and discusses how his experience leading big data and distributed learning initiatives for the U.S. Intelligence community inspired him to take hard lessons learned on the battlefield into the commercial sector and start BOSS AI. 

Deep and Dr. Bauer dive into Federated AI, a type of AI that allows machine learning models to be built from data across multiple disparate systems while leaving the data in each system encrypted and decentralized. Federated AI encourages businesses to leverage their data to extract insights, alleviating the need for expensive data lakes, while also avoiding the risk,  hassle and increased latency involved in centralizing data. 

Have you been struggling to extract from your long form content to build a social media audience? Or perhaps you want to save time curating catchy social media posts? 

This week we speak with Kate Bradley Chernis, the Co-Founder and CEO of Lately, an AI-powered social media marketing management platform. Kate explains how AI can be used to convert long form content into short, compelling snippets for social media. Building on her experience as a radio host, she stresses the importance of creating a two-way conversation with your audience to build trust and create fans, or "evangelists", through your marketing efforts.

Learn more about Lately here: https://www.lately.ai/