Co-founder and CEO – Tiyaro
Beyond the GenAI head fake
The early excitement around Generative AI (GenAI) is centered around seemingly “cool” demos of custom chatbots that answer simple questions based on facts learnt from existing documents. We even made up a term for it so it feels useful: Retrieval Augmented Generation (RAG). RAG-based enterprise customer service bots, sales bots, search bots, etc have proliferated in 2023 the same way as NFTs, pokemons, and tetris clones did in the past. And just like its predecessor fads, we are headed to a rude awakening that answering simple questions – using GenAI or not – was never a mission-critical enterprise problem in the first place.
In this talk, we will present our experience on what it takes to go from RAG to human-like problem solving using GenAI, how you can spot the difference for your own use cases, and ways to get started on this more meaningful and rewarding journey.
About the Speaker
Satyam Vaghani is proud to have spent most of his professional career creating and democratizing bleeding-edge technology – first virtualization, then flash, and now AI.
He is Co-founder and CEO at Tiyaro, a silicon valley startup using LLMs to create complex problem solving assistants for mission critical enterprise operations. Prior to Tiyaro, Satyam was SVP and GM of AI and PaaS at Nutanix where he led product strategy, engineering and GTM for an edge AI stack for real-time inferencing use cases in retail, telecom, and manufacturing. Earlier, he co-founded PernixData (acquired by Nutanix), a startup around virtualization. Before then, he was an early engineer at VMware where he saw his product grow from 10 enterprise customers to more than 500,000.
He has authored 128 issued patents, co-authored T10 and IETF protocol specifications and has been a regular speaker at technology conferences. In his spare time, he re-uses his patent plaques in woodworking projects.
Principal Investigator and Program Director- Ethical AI Initiative at Center for Practical Bioethics
Four Recommendations for Ethical AI in Healthcare
Technology is advancing at a rapid pace in what can feel like every sector of our lives, and healthcare is not exempt. Many of us require some sort of technology to live our lives, and technology is a tool that we use to make decisions. These decisions vary in complexity from auto-correcting our messages to saving your life, seemingly adding value to society. However, these tools when used in healthcare, especially those identified as AI, can cause devastating harm. Recommendations to mitigate this harm are limited, but this talk will outline four emerging recommendations for the ethical use of AI in healthcare.
About the Speaker
Dr. Lindsey Jarrett has extensive experience in program management, research, leadership, and academic writing across the non-profit, academic, for-profit, and government sectors. As a social scientist she has worked to better understand and provide evidence-based interventions, practices, and processes to underserved communities as they interact with the numerous systems (e.g., healthcare, education, community programs) across their life span. Her work as a clinical researcher has improved clinical decision making for providers in the areas of opioid safety, infection control, readmission prevention, maternal mortality, social determinants of health, and post-acute care. More recently, she has broadened her understanding of ethical decision making in clinical research and development and how decisions across the product/technology continuum impact healthcare institutions, those they serve, and society at large. Dr. Jarrett currently is the Program Director and Principal Investigator for the Ethical AI Initiative at The Center for Practical Bioethics. Her work across various sectors has created several collaborative initiatives and projects to positively impact the field of clinical research and assist stakeholders in implementing evidence-based practices across healthcare, education, and program development. Dr. Jarrett holds a PhD in Therapeutic Science from the University of Kansas and currently resides in Kansas City, Missouri with her husband, daughter and cat Lloyd.
Chief Tech Expert, Integral
Will AI Kill Our Unlimited Imagination?
What does AI look like 5 years down the road? Will we be so reliant on it, that we won’t be able to think for ourselves? Will AI, be unleased and calling all of the shots, or is it a fad that will fade away? Technology is always moving at the speed of light. What will AI be like in 5 years.
With all of this talk of ChatGPT, Bing AI, and Google BARD, has anyone thought about what relying on AI will do to our brains? We are already a generation that doesn’t move because everything is at our fingertips. Gone are the days when we actually had to get out to do things like go to the grocery store. Take a trip to the library if we needed information. Now all of the knowledge of the work is at our fingertips and the only things that get movement are our hands. Can you imagine if we aren’t able to use creative thought to create the things we normally had to use our imaginations for? We’d become a society that wouldn’t be able to create. Artwork, poems and essays created by AI. How about stories and things that the human brain created out of thin air? Where would it leave our society? It’s something we need to discuss and make sure AI doesn’t make us lose who we are in our minds and our souls.
About the Speaker
Burton Kelso is the Chief Tech Expert at Integral, an IT Support and computer services company, TEDx keynote speaker, as well as a Media Tech Expert who regularly appears on TV and radio shows globally. His vision is to remove the frustrations and complexity of computers and technology and open people up to a world of new ideas, experiences, and opportunities. He loves technology, he’s read all of the manuals, and he’s serious about making technology fun, safe, and easy to use for everyone!
Staff Solutions Engineer, Confluent
Practical Use of Generative AI in Application Development
Get hands on details on how to develop applications that take advantage of API calls to Large Language Models, learn how to create and use vector embeddings. See first hand how cloud based event driven architectures are the glue between LLM calls and Vector database Queries. Learn how to integrate LangChains “Chain of Thoughts” into Confluent Clouds “Central Nervous System” to build dynamic near real-time vector embeddings that propel product searches, route optimization and problem detection using audio, image and text data. All with a nice leave behind of a working demo application in github.
Co-founder and Chief Content Officer, GTM Delta
Generative AI in Content Creation: Best Practices, Risks, and Real-World Workflows
Dive deep into the dynamic realm of content automation powered by generative AI! In this session, we’ll dissect how GPT tools and LLMs can be used to create high-quality content, while also addressing the significant risks of navigating this space without the proper safety nets. Attendees will benefit from a hands-on showcase of a practical workflow and an exclusive look into some valuable code automation techniques. Equip yourself with the right tools, policies, and processes to optimize results and elevate your content creation game.
About the Speaker
Eric Wright is the Chief Content Officer at GTM Delta, and a proven startup advisor. Eric is a VMware vExpert, and Cisco Champion with a background in virtualization, containers, VMware, OpenStack, Business Continuity, Infrastructure-as-Code, and systems automation. Eric is a highly requested keynote speaker and the creator behind DiscoPosse.com and podcasts at DiscoPossePodcast.com. Eric is a regular contributor to community driven technology groups including AWS, Cloud-Native Meetups, VMUG, OpenStack User Group, Kubernetes and other open-source community Meetups.
CTO at Trualta
Streamlining Care to Improved Outcomes; how does Healthcare Tech evolve in the next 5 years?
The past decade, interoperability in healthcare has been a big focus. While we have made strides towards it, it is still far from being solved. In 2020, while everyone was forced to go remote, healthcare continued and with it the rise of remote patient care. In the last year, AI and ML models have started to come up more, especially with the focus on tools leveraging ChatGPT.
In this talk, we will take a dive into the current trends and how these might shape the next five years of healthcare. We will look at interoperability, remote care and AI to explore how these will come together to enable better care and start to streamline our healthcare system.
About the Speaker
Shahzad has 18+ years of Healthcare Technology experience and is currently the CTO at Trualta, where he is building products to provide caregivers better support and education resources. Before joining Trualta in October 2023, he was CTO at Rx Savings Solutions (RxSS), a Healthcare IT company specializing in analyzing prescription claims and finding ways for members to save on prescriptions and improve the management of their care. Shahzad also worked at Cerner, where he held various roles as a developer, software architect, project manager as well as managing a business unit.
As CTO, he oversees all product development, data engineering, security and engineering operations as well as working directly with clients around new sales and new product ideas.
Shahzad also actively participates in conferences as a speaker and teaches IT related courses to Masters students at University of Kansas.
ChatGPT in the Workplace: Boosting Productivity and Efficiency
In an era where technology is deeply integrated into our work environments, the role of AI, particularly conversational agents like ChatGPT, is becoming increasingly significant. These AI systems are not just chatbots; they are decision-making tools, communication enhancers, and productivity boosters. This talk will delve into the transformative impact of ChatGPT in the workplace and offer insights into best practices for its implementation.
About the Speaker
Rider Harris is a visionary entrepreneur with a diverse background in technology, business strategy, and sales. Before founding GoBananas.ai, Rider served in an inside sales role at a fintech company called C2FO, where he first realized the transformative power of AI in the workplace through the use of ChatGPT. This experience was pivotal in shaping his understanding of how conversational AI can be a game-changer in various sectors, including customer service, sales, leadership, and project management. As the founder of GoBananas.ai, Rider has been at the forefront of leveraging AI to solve real-world business challenges; mostly for sales teams. Rider has also had the ability to participate in very unique AI developments for companies in different industries. His expertise lies in understanding the nuanced ways in which technology can be employed to improve efficiency and foster innovation. Rider holds a degree in Marketing and Entrepreneurship from The University of Missouri. He currently resides in Leawood, Kansas.
CISO, VP of Architecture – Technology Group Solutions
Security at the Speed of Thought
The collision of technologies. Imagine a world where your Governance, Risk, and Compliance policy configures your security devices automatically or where your security devices build your Risk Management Framework for you. This is already occurring on a micro level today. Security, both Policy/Procedure and Engineering, must happen at the speed of thought – is it possible? I believe so.
Artificial intelligence is bringing a paradigm shift in the world. There are many technologies today that, when combined with AI, produce an exponential gain in function. Today, AI is anything but intelligent. However, this is changing rapidly, and understanding this change is paramount to capitalizing on AI’s forward momentum and potential.
No one person knows it all. Come and discuss this concept with us.
About the Speaker
Uriah McHaffie is an accomplished security executive with impressive credentials, including a Bachelor’s degree in Cyber Security and an MBA and the CCIE, CISSP, and MCSE certifications. He brings to every project unparalleled expertise in designing robust security plans to protect data assets while helping organizations attain their goals. A consummate professional and team player, Uriah works diligently to mentor teams and empower them to reach new heights of success. Along with his professional accomplishments, one can easily appreciate the aesthetic pleasantry of his undeniably majestic beard.