In this blog, I’ve tried to capture some of my notes and observations to share with anyone that wasn’t able to attend the @HBS #TechClub Annual Tech conference or the individual sessions. It’s also an attempt to share some of this fabulous content with a wider audience, acknowledge the organizers, and THANK the speakers for sharing their time and expertise. The full article is posted below.
The State of AI | Generating Value, Impact, and an evolving Playbook
Knowledge if truly power whether it’s you and I being better informed or AI getting smarter as we feed it better and better data. In fact, I felt so much better about how we can embrace this new era after the incredibly informative presentations.
For most mortals, AI is an intimidating concept, so for those of us who are privileged to be exposed to some of its potential impact, its incumbent upon us to help share the learning and if in a position to do so, help “shape” the future. Share on XThe opening keynote at the HBS Tech Conference, Rodney Zemmel of McKinsey, explained the transformation from Analytical to Generative AI and shared research on what was really making an impact or contributing to value creation. Speed and cost – attributable to both hardware and software advances are at the heart of AI being applied across many dimensions of business. AI has changed so much that we even learned that the old word doesn’t fit it anymore and that Generative AI is a “retronym” to characterize where we are today.
As the chart clearly shows, Customer Engagement, Creative Content, Coding, and “Concision” (Concise + Precision) are among the most prolific applications. Companies surveyed in the analysis are trying to achieve 20% cost savings and 30% revenue goals. But on an informal level, when he met with a few hundred executive teams to see how they are REALLY using AI day-to-day, there’s more experimentation with personal uses such as travel planning, birthday, and retirement poems. Nonetheless, fascinating research is taking place for interactions between patients and doctors – where a patient could clearly differentiate the chat bot from the doctor, but still preferred the chat bot for its breadth of knowledge and empathy. This certainly caused a ripple in the audience!
Much of the next phase will require retooling of the business. He covers much of the research in his book, Rewired. But some of my key takeaways were:
- Leveraging the combined data sources – public and proprietary is where the true power of AI takes place – to create more credible expertise
There are three groups of adopters – Taker, Maker, and Shaper. Most companies are still “taking” but true competitive advantage will come in shaping the future. Making can be expensive as it always is to be the early leader.
- The playbook has some clear guidelines that will make or break success. These include starting at the top and working all the way through the organization for commitment, having clear financial targets, the appropriate and engaged talent pool, an agile (or equivalent) operating model, not to over “technologize” the implementation – focus on the key areas that need it; and data humility (good, trustworthy, ethical data).
Key Players in AI Infrastructure| Spotlight on NVIDIA – Beyond Games
NVIDIA SVP of Enterprise Business, Shanker Trivedi used his time in the spotlight to enhance our understanding of the NVDIA story. Described as an accelerate company platform – NVDIA is a full stack offering of hardware and software that makes developers more efficient. Developers are the main focus and “go to market” is accomplished through a vast network of partners.
Although its roots were in gaming, gaming gave the company the tools and understanding needed to go deep into other verticals – emphasizing that “acceleration is domain-specific.” NVDIA uses its unique combination of tools to attack killer workloads. In terms of AI, it can be thought of as an operating system for AI. The ensuing panel of Ampere, Memryx, and Interl emphasized that GenAI requires a robust AI infrastructure and one of the great outcomes of this computing environment is the time to market (e.g. ChatGBT was just 14 months out of the lab) and the ability to simulate. Simulating can provide significant savings and efficiencies down the line – especially in areas like manufacturing or plant design.
Panels: Health Tech and Bio Tech
- FLORIAN HILLEN, CO-FOUNDER AND CEO, VIDEAHEALTH
- RON ALFA, CO-FOUNDER AND CEO, NOETIK
- MERIDITH CASS, CO-FOUNDER AND CEO, NIX BIOSENSORS
- MICHAEL SCHRADER, CO-FOUNDER AND CEO, VAXESS TECHNOLOGIES
- GREGG GRINER, PARTNER, ORRICK
Life Sciences and Health AI| Really Good Stuff
The Health and Bio tech panel was wonderfully diverse offering perspectives from the startups, investors, and the support team – in this case a Law Firm. All the companies had an element of AI in their offerings – AI for dentistry – Videahealth; AI for immunotherapy Noetik, AI for health using biosensors (NIX), and AI for home health care – Vaxess. Among the key topics of discussion were the types of expertise needed in the growing AI field. The obvious skill set is data science, but in addition to the technical areas – it’s equally important to “be a dreamer” and be able to ask the right questions. Just having the data truly isn’t enough. Knowing how to query the data is critical. In the case of Noetik, data is gathered from tumors to infer properties. The tasks that are being undertaken by AI, in this case, are far too difficult for humans. That is where the AI is adding the most value.
In the case of Videahealth, the applications help the dentist and patient decide what will happen if you don’t do something (e.g.fill the cavity, add the crown, etc.). The cumulative data helps predict future results. Ideally, the combination of the large data sets and the individual’s history will create the best decision-making data set. In other words, taking personalized database, but use in a longitudinal fashion.
Investment strategy was another track of the discussion. Meredith went down the venture path citing that as a direct-to-consumer, it made the most sense. She also rode the wave of sports tech. Now that some of that wave has diminished, she is looking more to high-net-worth individuals with ties to her customer base – e.g. sports teams like the Celtics, Texas Rangers, etc. Those with a personal passion for understanding health through “sweat” are her best advocates. Florian was cautious on the VC investment direction IF one believes that VC’s can provide all the value added (beyond the actual dollars) that one assumes they will.
The final discussion focused on distribution and adoption. The point was made that one of the key values of AI is the ability to simulate before committing to full coding of a product. This is key for cost savings and also for understanding end user impact. In the case of therapeutics and all the required documentation to conduct a trial, AI could accelerate clinical trials. In the big picture, this helps ease the tension between technology push and market pull.
Climate Tech and Tough Tech Panel:
- REBECCA YEUNG, VP AI & ROBOTICS, FEDEX
- SUPRATIM DAS, CORPORATE DEVELOPMENT, ELECTRIC HYDROGEN
- MELISSA FENSTERSTOCK, VC, MATERIAL IMPACT
Tackling the Big Issues| A long term view
The Climate and Tough Tech panel was eye opening. The focus of this area will have a direct impact on the planet and the challenges are unique in each part of the sector. The “tough” problems in this sector are depletion of natural resources and finding more economical ways to deliver energy in a climate friendly manner. Following a step-by-step path, Electric Hydrogen’s head of Corporate Development, Supratim Das explained how they were the first company to bring down the megawatt costs – one of the barriers to hydrogen as an energy source. Even so, the profitability would not be possible without tax credits.
Melissa Fensterstock, from Material Impact shared their big picture thinking around what will drive the next revolution in human and planetary issues – Space Tech, Food Tech, and Water were among the innovative areas being explored. Anything driven by Material Science were among their focal points as investors. They focus on solving problems but many of the solutions in climate tech, for example face scaling challenges. They also require many outside influencers – government and broader support to be successful in many cases.
Each investor was asked to comment on the tough tech spaces that need more attention. Manufacturing technology, battery and solid state were among those that need innovation and investment. For example, looking beyond oil and water emulsion in manufacturing. FedEx discussed robotics and the importance of robots needing a “sense of touch” for the next phase. To do so requires convergence of different technologies. All in all, this group of investors and innovators are taking on some of the biggest challenges we face as human beings.
Wisdom for Women in Tech| Make your presence known
Speakers:
- SHAILAJA SHANKAR, SVP, CISCO
- VIVIENNE ZHANG, PRODUCT MANAGER, NVIDIA
- SRIVANI AMRUTAVAKKULA, SENIOR MANAGER OF PRODUCT MANAGEMENT, WALMART TECH
- KATHY PHAM, VP, WORKDAY
The Women in Tech panel was focused on the how to stay ahead of the career game. The expert panel shared their insight on the importance of being active in learning, coaching, and thought leadership, and staying on top of trends. Being an “information carnivore” came up as a recommendation!
In terms of leadership, one line of advice revolved around the importance of sponsorship and a personal board of directors. Another point of view was offered by Kathy Pham who said that all her roles were “made up” and effectively being a pioneer gave her opportunity.
Specific advice was offered by Shailaja about being heard and taking your seat at the table. “Don’t cede it” once you get there. If you are invited to a meeting, it’s because you have a valued opinion. When things don’t go your way, handle rejection well.
And finally, the point was made to stay health and “take care of yourself” because you need your strength.
- BRYCE YOUNGREN, MANAGING PARTNER, POLARIS PARTNERS
- ROB GO, FOUNDING PARTNER, NEXTVIEW VENTURES
- ADAM VALKIN, MANAGING DIRECTOR, GENERAL CATALYST
Inside the VC World| Career Competencies
For the audience, this session was a very real breakdown of what it takes to pursue a career in venture capital. It was a frank and very useful discussion. The panel was diverse and the major takeaway was for anyone considering a career track in venture to carefully consider the investment theses and style of the fund – multi-stage, pre-revenue, etc. Each was very specific about the stage of companies, percentage of controlling interest, and sectors of investment. A second major point was the type of experience valued in the funds. Clearly, operating experience is at the very top of the list but not a deal-breaker if you are bringing other key areas of expertise to the table. Analysis, strategy, professional development, product management, and having a broad and deep network are also key skills.
Rob Go from NEXTVIEW made the point that it is possible to build an entire career in venture by apprenticing with the more senior team members as a lot of the decisions are made by looking at patterns over time. He made the point that VC is no longer the “craft” business it used to be and that it’s much more institutionalized and careers can be launched there successfully. Rob also believes strongly in keeping the “idea
Fireside with Adam Selipsky, CEO, Amazon Web Services
Adam kicked off his fireside answering questions about organizational affinity – the traits that help align everyone in the company. He shared many of the tenets shared at AWS that are known as their 16 Principles of leadership. To that he added that they always take the long term view – making huge capital investments in the future – truly core to the foundation of Amazon.
On the topic of AI, he believes that we won’t have a good read for at least five years but at AWS they are taking a customer perspective. What he sees as a priority is to stay in the forefront of innovation and to create industry frameworks on how to act as AI evolves.
As an HBS graduate, he was asked to articulate what he didn’t learn at HBS to which he responded, “managing people.” He expanded on this by discussing his interactions with the team during the Pandemic when everyone faced uncertainty. Openness and transparency were the core of his approach. He felt that if he was honest about what was happening, people would come with him even if they disagreed.
At the end of the day, he was asked the inverse, what he LEARNED at HBS to which he responded – first the business “toolkit” but more importantly, the power of the Case Method. He specifically discussed that the real world does not offer simple answers. Most business challenges are based on open ended, ambiguous questions to which we will never really know the answer. In fact, you will never know if you are right or wrong. So, you have to understand what facts are important, make a decision, and be able to defend your decision. This was powerful insight and a great takeaway from the conference.