Data science
fromFast Company
3 hours agoData, not infrastructure, must drive your AI strategy
Data centricity is essential for effective AI strategies, enabling collaboration and problem-solving across business units by making data accessible.
We're investing a lot in AI - we're doing a lot, but we're stopping at individual productivity. We're not taking the next step. You can't just screw AI on everything - it only makes you faster. It means you need to think about, 'how are our teams collaborating? How are people collaborating?' You probably need to change the way you work.
Earlier we did episode one of this with Grady Booch where we discussed the principled view of that what's changing and what remains unchanged, what is hyped and what is actually naturally coming with the AI changes. We also spoke about that what is the difference between the design and the architecture and what teams are focusing and what they might be missing.
Compact, low-rise villages and cities made sense based on how far people could reasonably travel on foot or by horse. This was true all the way up until the late 1800s. Then came an invention that let people travel incredible distances in seconds, entirely reshaping cities with dense population clusters.
Whole Foods shelves sit empty after a data breach shut down its wholesale distributor. Meat packers working for JBS Foods are paralyzed as an $11 million ransomware attack takes out their processing facilities. Some 2.2 million workers at Stop & Shop and Hannaford have their personal data exposed as the result of a cyberattack on parent company Ahold Delhaize USA. These scenarios, straight from a William Gibson novel, are becoming increasingly common in supply chains across the world.
It has been almost three years since the Port of San Francisco awarded TMG Partners the redevelopment rights for San Francisco's Pier 38, with TMG winning over the Port with a pitch that emphasized the speed with which they planned to act and an "immediate revitalization" of the pier with a mix of public, office and maritime uses. But Pier 38, which has been shuttered since 2011, remains red tagged and inactive.
For more than a decade, autonomous buses have been "almost ready." Demonstrations with safety drivers began around 2015, and ten years later, this is still largely what we see. The reason is not a lack of ambition - it is physics, safety, and economics. Autonomous buses on city streets are inherently difficult. They carry dozens of passengers, operate as heavy vehicles, and move through a chaotic urban environment.
The scaling model relies on several predictive factors of the system, including the underlying LLM's intelligence index; the baseline performance of a single agent; the number of agents; number of tools; and coordination metrics. The researchers found there were three dominant effects in the model: tool-coordination trade-off, where tasks requiring many tools perform worse with multi-agent overhead; capability saturation, where adding agents yields diminishing returns when the single-agent baseline performance exceeds a certain threshold; and topology-dependent error amplification, where centralized orchestration reduces error amplification.
Footage of the incident, which took place January 15, shows the robot sitting motionless on the tracks, seemingly making no attempt to get out of the way as the unmistakable blare of the train horn gets louder and louder. "Oh it's gonna crush it!" the onlooker taking the video can be heard saying moments before the train, operated by Brightline, flattens the unfortunate bot into the tracks. Sparks can be seen flying from beneath the train before the video cuts off.