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Djokovic And Sabalenka Shine At Miami Open: A Closer Look

Novak Djokovic, inching closer to his 100th career title, showcased a masterclass performance at the Miami Open by defeating Sebastian Korda 6-3, 7-6(4). Despite trailing Korda by 5-2 in the second set, Djokovic’s calculated service game brought him back into contention, sealing the win with a commanding ace. The Serbian legend’s path now leads him to face Bulgaria’s Grigor Dimitrov, a match that promises to be a thrilling standoff.

Sabalenka’s Unstoppable Run

Aryna Sabalenka, the world number one, stormed her way into her first-ever Miami Open final, defeating Jasmine Paolini with an assertive 6-2, 6-2. Not dropping a single set throughout the tournament, Sabalenka faces a formidable challenge ahead against Jessica Pegula. As anticipated, this collision is expected to electrify the courts, potentially altering the WTA top seeds ranking.

Key Matches That Define The Tournament

Fritz vs. Berrettini: Taylor Fritz overcame a grueling three-set match against Matteo Berrettini. After seeing six match points slip away in the second set, he secured his semi-final spot on the seventh opportunity, demonstrating tactical resilience.

Pegula vs. Eala: Jessica Pegula overcame a spirited effort from Alexandra Eala. The match witnessed dramatic shifts in momentum before Pegula’s experience gilded her victory well past midnight.

Uber CEO Redefines Corporate Innovation Through AI Empowerment

Uber’s Code-Driven Transformation

Uber CEO Dara Khosrowshahi says the company should be understood less as a ride-hailing platform and more as a large technology system built and maintained by engineers. Speaking on The Diary of a CEO podcast with Steven Bartlett, he described how software development remains central to Uber’s operations and long-term strategy.

Embracing AI As A Preparation Tool

Khosrowshahi explained that some internal teams use an AI tool informally referred to as “Dara AI” to simulate executive feedback during preparation meetings. The system allows teams to test presentations and refine arguments before final reviews. The approach reflects Uber’s broader focus on using AI to improve internal decision-making and workflow efficiency.

Engineering As The Architectural Backbone

According to Khosrowshahi, around 90% of Uber’s engineers are already using AI tools in their daily work, while roughly 30% are considered advanced users applying AI to redesign parts of the company’s infrastructure. The shift positions engineers not only as builders of existing systems but also as key drivers of future product and platform development.

Productivity Redefined

Khosrowshahi noted that AI adoption is significantly improving engineering productivity and accelerating development cycles. The company views these tools as a way to optimize processes rather than replace technical expertise.

Uber’s internal use of AI illustrates how large technology companies are integrating automation into core operations while reshaping how teams collaborate and ship products.

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