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INTERSECT NEXT


CHICAGO-BASED AI ADVISORY, INSIGHTS, AND RESEARCH

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FRED BLISS: AT THE INTERSECTION OF APPLIED AI, ENTERPRISE, AND PRACTICAL
GUIDANCE

Offering personalized AI Guidance, Advisory, Insights, and Research tailored to
organizations from startups to enterprises.

Fred Bliss's expertise is shaped by decades of experience in complementary
industries and technical fields, including over two decades in data consulting,
as well as theco-founder and CTO of Aptitive, a modern data & analytics
consulting firm founded in 2013.

> As CTO and co-founder, Aptitive grew to a team of ~55, often doubling each
> year, with a successful exit in 2021.

If you or your organization have an 'AI mandate', are spinning up a new project,
or need a second eye in delivering a tangible outcome, Fred can help you
re-think how to look at various use cases - including identifying and separating
what's not yet solvable and/or high risk - and trading it for more granular
building blocks that will deliver outcomes and set a foundation for the future.
Given the large number of great use cases out there, sometimes it's often a
matter of perspective and nuance - and getting the right advice on how to go
from Start to Finish.


AI GUIDANCE, ADVISORY, INSIGHTS, AND RESEARCH

Fred provides personalized AI Guidance, Advisory, Insights, and Research for
organizations of all sizes, from startups to enterprises.


APPROACH AND PERSPECTIVE

Fred has made it his passion to be on the bleeding edge while keeping one foot
grounded in enterprise realities. This gives him a unique perspective into the
future possibilities and their fit into different types of organizations. By
continuing to be heavily hands-on, it becomes easier to see great ideas that
work, and others that simply sound great on paper.


EXPERIENCE AND NETWORK

Fred leverages his unique perspective, extensive cross-industry experience, and
network within the emerging modern AI ecosystem to provide valuable insights and
guidance.

FLEXIBLE ADVISORY & RESEARCH

Fred's advisory and research offerings can be structured to meet your unique
needs:

 * One-hour discussions for focused guidance
 * Long-term trusted advisory relationships
 * Insights and discussion amongst decision-makers
 * Strategic perspectives for AI sector investment opportunities
 * Perspectives on your current AI trajectory

In addition to longer term advisory, Fred also offers technical insights and
strategic perspectives to help inform decision-makers in the AI sector,
including those evaluating investment opportunities.

Get in Touch

Let's work together to see what makes the most sense for you at this time.




NAVIGATING THE FRONTIERS OF AI POTENTIAL

In this era of rapid AI advancement, organizations face unprecedented
opportunities for innovation and efficiency. As your advisor, I can guide you
through the landscape of possibilities, helping you identify and prioritize AI
initiatives that align with your strategic goals:

 * Synthetic Data: We're already seeing the frontier labs heavily using
   synthetic data (or, data augmented by other data via LLMs). The possibilities
   here are the most exciting ones that most organizations already have the
   talent and know-how to build. From transforming checklists or workflows, such
   as audit or compliance workflows, into code for quicker evaluation. Or making
   your product data shine by taking all that rich data on marketing brochures
   and sales training guides, or narration and imagery from product
   demonstration videos. From generating or inputting images, audio, or other
   unique and creative sources of data, and augmenting or creating new sources
   of data, the only limit is creativity. The possibilities here are endless and
   the most exciting to me, largely because there's few barriers to getting
   started immediately.
 * Multimodal AI: With native multimodal (text, images, video, audio, etc)
   models now entering the market, as the capabilities grow, it will soon become
   the standard, allowing for 'any' input to 'any' output, be it an image or
   audio capture or video, or all the above together. Today, using some methods
   that were only recently uncovered on the frontier, we can use vision models
   in conjunction with advanced retrieval (search) models, allowing for the
   vision model to natively understand complex real-world documents. While
   direct 'question answering' has been part of the 'mishype', there's already
   immense value in being able to query vast amounts of rich documents,
   including slide decks and PDFs with visual elements (e.g. 'what was the YoY
   sales revenue chart we shared on investor decks' can now typically return
   exactly the right page you're looking for). From there - it's a matter of
   building creative new interfaces to interact with the highly relevant
   retrieved data in a brand new way. We can go way beyond chatbots and 'give me
   the answer' - particular given nuance and context. Understanding the current
   limitations and potential of these technologies is crucial for extracting
   valuable insights.
 * Advanced Retrieval and Search Capabilities: Improve your organization's
   ability to access and utilize information effectively. Unless you're a
   technology or software company, building and maintaining a vector database
   and search engine (and the 'glue' between it all) from scratch can be a
   costly and unnecessary endeavor. Instead, let's explore more practical and
   efficient solutions that can meet your needs.
 * AI Engineering as a new Role: The rise of the AI engineer as a formal role
   has been growing substantially over the years. With firsthand experience
   playing that role, identifying the right people on your team that can combine
   data engineering, software engineering, and AI engineering into a cohesive
   pipeline is an easy 'win' that can be accomplished today, and reap long-term
   benefits in return. The right approach here can lead to continual
   improvements in new and existing pipelines without unnecessary complexity.
 * Business Process Automation Opportunities: Before anything else, have your
   team members map out their day-to-day processes and identify areas where
   automation can help simplify their workflow, eliminating tedious tasks and
   freeing up time for more strategic work. Once you build that muscle, you can
   move on to broader, more complex processes - identify key success metrics,
   and translate these into code, data, feedback for AI reward models, and
   you're now on the path toward aligning AI capabilities with your business
   objectives. As part of our advisory relationship, we can quickly show brand
   new (yet very familiar) user interfaces that give business users
   unprecedented control and exploration.
 * Creating a 'Data Flywheel' : Develop a systematic approach to AI engineering
   that creates a self-sustaining cycle of improvement, where high-quality data,
   robust infrastructure, and reliable deployment processes work together to
   accelerate AI development, deployment, and iteration, ultimately driving
   business value and competitiveness.
 * Measure, Learn, Adapt: Building Foundations for AI Excellence: You can't
   optimize what you can't measure - if you don't know what 'good' outputs look
   like from your AI workflow, it's difficult to optimize anything before that.
   However, by capturing inputs and outputs, we can jointly identify what 'good'
   looks like using real-world examples, creating a crucial feedback loop. Start
   by logging and capturing key data points, even if your definition of success
   is still evolving. This foundational work enables continuous improvement,
   allowing you to refine your AI initiatives and adjust course over time.
 * Data Privacy-preserving AI Solutions - a Hybrid Approach: Explore on-device
   and edge AI implementations to maintain data privacy and enable low-latency
   applications crucial for sensitive operations. Combined with 'smart' routers,
   users within your organization can leverage on-device models for everyday
   common tasks, while offloading larger tasks to a wide variety of different
   models that can vary by use case, workflow, budget, and capability. Given the
   expectation that models will continue to commodify, with Compound Systems
   growing, having a vision and playbook for this ever-changing landscape is of
   considerable value.
 * Interactive UIs in Minutes and Hours, Not Days: As we've seen in other tech
   cycles, clever and creative user interfaces will become the key drivers of AI
   adoption. Moving beyond chatbots and using LLMs in new ways requires new
   interfaces - and new interfaces require creativity. Explore opportunities to
   create bespoke, purpose-built AI-driven UIs that tell a story and showcase
   your ideas and vision. Business analysts with little-to-no experience in
   building frontend code can now provide the rich business context and data as
   the driver for AI-generated UIs, for everything from prototypes to ideation.
   With the ability to create custom UIs in minutes or hours, you can turn
   meetings into immersive, interactive demonstrations of your vision or idea.

It's important to note that these capabilities are achievable today with the
right approach, expectations, and technical considerations - specifically taking
advantage of what we know to be gaining real traction amongst trusted sources of
research and projects in the field - while simultaneously aimiming for
simplicity and practicality. Getting these nuances right is often the difference
between an AI initiative's success and failure. Simpler, smarter solutions can
often provide significant value without the complexity tradeoff - but it's
important for you and your team to be aware of the tradeoffs, so that your
organization can make informed decisions.

My role is to help you navigate these nuances, set realistic expectations, and
determine the most effective approaches for now, the near term, and the future.
The ideas presented here are just a starting point - I'm happy to explore more
possibilities tailored to your specific needs in our conversations.

Now is the time to strategically integrate AI capabilities into your
organization, but it must be done with a clear understanding of current
possibilities and limitations. This approach represents an investment in your
organization's future, grounded in practical, achievable steps.

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Navigating beyond AI's 'mishype' toward tangible business outcomes
Understanding limitations, working within constraints of modern AI
One foot on the bleeding edge, one grounded in today's orgs and enterprises
Personalized AI advisory for organizations of all sizes
Leveraging decades of cross-industry experience
Bridging the gap between AI potential and practical implementation
Long-term value focus in a rapidly evolving landscape
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