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Approximately one in three restaurants will be out of business within the first year. For construction companies, this figure rises to 53%.
But AI projects are a real heartbreaker: a Gartner study found that 85% of them are set to fail “due to biases in data, algorithms, or the teams tasked with managing them.”
Unfortunately, a deep fear of missing out has many organizations jumping into AI projects with both feet, even if they don’t fully appreciate the scope of work involved.
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“The best way to make sure you’re on the right AI development path is to start your AI project without thinking about the models,” advises Dataloop co-founder and CEO Iran Shlomo.
“Much of the information the AI needs to perform at its best is not available to the development team,” he wrote. This creates a ‘chicken or the egg’ problem: businesses need production data to provide a viable model, but the model must exist to go to production.
In a post aimed at non-technical managers and senior developers, he shared a framework for building a core team of data scientists, domain experts, and data engineers to build a system that can iteratively learn from its mistakes.
Collaboratively, “AI delivers automation, speed, and lower costs,” while the team guides “AI to the right results in a constantly changing environment.”
According to Shlomo, working along these lines will produce a machine learning data flywheel that is “essentially planning a learning system rather than a real-time AI model.
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Despite the failure, CVC has gained a lot of attention in the Brazilian startup ecosystem
Brazil’s corporate venture scene is very much in its early days, but in the last few years, companies in sectors such as mining, telecom and retail have been entering the game.
“These CVCs should be structurally important to Brazil’s startup ecosystem, as they can reduce volatility by introducing a stable medium-term pool of dry powder,” said hedge fund investment analyst Matías Tavares dos Santos.
Gatik’s Gautam Narang on the importance of knowing your customer
As the toxic train derailment in East Palestine, OH, shows, our fragile heritage supply chains are long overdue for reform.
Autonomous vehicle startup Gatic operates about 40 driverless heavy-duty semi-trailers on roads up to 300 miles long, connecting distribution centers with smaller hubs.
Rebecca Bellan interviews Gautham Narang, CEO and founder of Gatik, to learn more about the company’s operations, investor expectations and how the shortage of human drivers is impacting growth.
“We have never had free delivery. We have been doing commercial deliveries since 2019, which means that every trip we have made has been paid for.
If you have more than one business model, you don’t have a business model.
If your startup doesn’t have a well-defined business model — and a backup if the first one fails — you’re less likely to get funding.
HJ Jan Kamps describes it as “the whole stack of how your company works: how you deploy your resources (money and people) to create a product and attract paying customers, and how you retain those customers.”
No need to stumble in the dark: Seed platform founders can rely on LTV and CAC to shape strategy, because identifying a “repeatable business model” is Job One.
“The key is to de-focus your business model and how you focus your attention during your product’s sales cycle,” he writes.
Creating remote work rituals that stick
Remote teams have a lot of flexibility when it comes to when and how they work, but adding some structure can increase productivity and transparency without sacrificing freedom.
Stephanie Palomino, Chief Product Officer and General Manager at ROOM3D says, “Ultimately, asynchronous work only works for you when you share work steps with your team.
This post offers several tips to help managers deploy active listening techniques that encourage engagement, improve communication, and ideally reduce the number of meetings.
“The habits that people form are negotiated over time, but that’s something we’ve come to take for granted.”
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