Reconceptualizing Capitalism and Humanity Itself
Posted: Tue Feb 11, 2025 3:37 am
s my colleague Brandon Gadoci, our VP of AI Operations, explains in this video, our suite of innovations that will crack open and diffuse vast stores of previously impenetrable corporate and institutional data for use in AI applications. Brandon explores and describes the world of “pent-up innovation” about to burst before us and the explosion of opportunity for enterprises now being created by AI. He guides us through our own internal AI application development, which is dramatically boosting our productivity, as I discussed back in January in Help Wanted: Why Your AI Strategy Needs a Dedicated Executive.
“From the detailed genetic mappings of the Human Genome Project to the comprehensive datasets of Global Economic Indicators and the wide-ranging repository of Wikipedia, Knowledge Graphs are prepared to intertwine these domains into a cohesive, accessible web of information,” Bryon wrote in an internal data.world paper. “Similarly, by linking economic indicators with public health data, AI could reveal socio-economic factors underlying health disparities, guiding policy and innovation in public health.” Bryon has also written extensively on how the AI agents described by Khosla and Gibbs will unleash the planning, data access, and granular understanding of business operations that enterprises demand. These AI agents are at the center of our AI Context Engine. Users create autonomous applications that navigate the knowledge graph (the brain of your organization).
In the runup to our launch of our AI Context Engine, our Principal Scientist Juan Sequeda, who heads our AI Lab, revealed in a benchmark research project that our knowledge graph enabled a 300% increase in the accuracy of queries. When these technologies are paired, the result is not just mastery of what is known. “We can also find serendipitous ‘unknown’ relationships” that in Juan’s words make “creativity blossom”.
In a recent discussion, our Chief Customer Officer and Product Strategist Tim Gasper shared how WPP, one of our customers and the communications and technology giant, is using this suite of technologies: "The key is that they created multiple AI experiences around creative content and collateral, creating mock advertisements, mock social posts – also focused around leveraging data – to target which kinds of folks with which kinds of messages.”
This is the most exciting moment in the history of data.world because the level of innovation is the highest we’ve ever experienced. The Blueprints for Generative AI event that we are hosting today provides a glimpse of all the recent innovations and what is coming next.
So, to conclude, let me return to the allusion I made to Conscious Capitalism at the outset, and another often neglected dimension of Renaissance 1.0 – its disruption of feudalism. I’m not cavalier or unconcerned about the disruption to the labor force that is already beginning as companies embrace the productivity tools of AI. A telling brazil whatsapp number data anecdote came a few weeks ago in the Bg2 podcast between investor legends Bill Gurley (a recently returned Austinite) and Brad Gerstner on this very topic. In this clip, Gerstner recounted a recent conversation with a CEO whose company has tens of thousands of employees: “He said ‘over the next five years we’ll grow our top line 50 percent and we’ll reduce our personnel costs by 10 to 20%.’ That’s extraordinary.”
That CEO is right, and it’s been the arc of capitalism since the beginning - the relentless search for efficiency and ease. But as I emphasized in Part One, we need to elevate our discussion to a higher altitude. We will lose some jobs, but as Khosla pointed out in his talk, eight hours a day on an assembly line doing repetitive tasks for an entire career is hardly human – what those in the world of the future will regard as our own version of feudalism. We will also create many new jobs - much better ones and I hope the doomsayers will think deeply about this.
As I explained in this Austin Next podcast a year ago, many of the fears are based on faulty math. Yes, incrementally, companies are going to hire fewer engineers, or said differently, the “engineers-per-unit” of enterprise will drop. But the “units of enterprise” – with the cost of doing really hard things dropping and the barrier to creativity shattered – will simply skyrocket. As I discussed there, this will lead to millions of new startups, and therefore a net positive in job creation over time.
“From the detailed genetic mappings of the Human Genome Project to the comprehensive datasets of Global Economic Indicators and the wide-ranging repository of Wikipedia, Knowledge Graphs are prepared to intertwine these domains into a cohesive, accessible web of information,” Bryon wrote in an internal data.world paper. “Similarly, by linking economic indicators with public health data, AI could reveal socio-economic factors underlying health disparities, guiding policy and innovation in public health.” Bryon has also written extensively on how the AI agents described by Khosla and Gibbs will unleash the planning, data access, and granular understanding of business operations that enterprises demand. These AI agents are at the center of our AI Context Engine. Users create autonomous applications that navigate the knowledge graph (the brain of your organization).
In the runup to our launch of our AI Context Engine, our Principal Scientist Juan Sequeda, who heads our AI Lab, revealed in a benchmark research project that our knowledge graph enabled a 300% increase in the accuracy of queries. When these technologies are paired, the result is not just mastery of what is known. “We can also find serendipitous ‘unknown’ relationships” that in Juan’s words make “creativity blossom”.
In a recent discussion, our Chief Customer Officer and Product Strategist Tim Gasper shared how WPP, one of our customers and the communications and technology giant, is using this suite of technologies: "The key is that they created multiple AI experiences around creative content and collateral, creating mock advertisements, mock social posts – also focused around leveraging data – to target which kinds of folks with which kinds of messages.”
This is the most exciting moment in the history of data.world because the level of innovation is the highest we’ve ever experienced. The Blueprints for Generative AI event that we are hosting today provides a glimpse of all the recent innovations and what is coming next.
So, to conclude, let me return to the allusion I made to Conscious Capitalism at the outset, and another often neglected dimension of Renaissance 1.0 – its disruption of feudalism. I’m not cavalier or unconcerned about the disruption to the labor force that is already beginning as companies embrace the productivity tools of AI. A telling brazil whatsapp number data anecdote came a few weeks ago in the Bg2 podcast between investor legends Bill Gurley (a recently returned Austinite) and Brad Gerstner on this very topic. In this clip, Gerstner recounted a recent conversation with a CEO whose company has tens of thousands of employees: “He said ‘over the next five years we’ll grow our top line 50 percent and we’ll reduce our personnel costs by 10 to 20%.’ That’s extraordinary.”
That CEO is right, and it’s been the arc of capitalism since the beginning - the relentless search for efficiency and ease. But as I emphasized in Part One, we need to elevate our discussion to a higher altitude. We will lose some jobs, but as Khosla pointed out in his talk, eight hours a day on an assembly line doing repetitive tasks for an entire career is hardly human – what those in the world of the future will regard as our own version of feudalism. We will also create many new jobs - much better ones and I hope the doomsayers will think deeply about this.
As I explained in this Austin Next podcast a year ago, many of the fears are based on faulty math. Yes, incrementally, companies are going to hire fewer engineers, or said differently, the “engineers-per-unit” of enterprise will drop. But the “units of enterprise” – with the cost of doing really hard things dropping and the barrier to creativity shattered – will simply skyrocket. As I discussed there, this will lead to millions of new startups, and therefore a net positive in job creation over time.