#data-science

#data-science

This March, we're bringing you a curated lineup of the most exciting Scala and AI events from around the world. Highlights include SCALAR Conference in Warsaw, NVIDIA GTC, QCon London, and SXSW's tech tracks, offering everything from deep technical talks to hands-on AI and functional programming sessions. Whether you're sharpening your Scala skills, exploring AI in production, or connecting with global developers, this month's edition has something for everyone. Don't miss the chance to learn, network, and level up your expertise

The title "data scientist" is quietly disappearing from job postings, internal org charts, and LinkedIn headlines. In its place, roles like "AI engineer," "applied AI engineer," and "machine learning engineer" are becoming the norm. This Data Scientist vs AI Engineer shift raises an important question for practitioners and leaders alike: what actually changes when a data scientist becomes an AI engineer, and what stays the same? More importantly, what skills matter if you want to make this transition intentionally rather than by accident?

Join us on March 4th 2026, for an unforgettable, non-stop event, streamed from our studio in Amsterdam. We'll be joined live by 15 well-known and beloved speakers from Python communities around the globe, including Carol Willing, Deb Nicholson, Sheena O'Connell, Paul Everitt, Marlene Mhangami, and Carlton Gibson. They'll be speaking about topics such as core Python, AI, community, web development and data science.

Data science and artificial intelligence are fundamentally redefining what constitutes skill in investment management, shifting the sources of sustainable competitive advantage in ways most firms have yet to comprehend. This is not about automating existing workflows. It is about reconceptualizing which analytical tasks can be systematized and which genuinely require human judgment, then rebuilding investment processes around that distinction. Firms that fail to recognize this depth are not simply adopting tools more slowly. They are misunderstanding the nature of the change itself.

Image source, BBC Sport Artificial intelligence is making a big mark in elite football, and England are at the cutting edge when it comes to using it in the men's international game. From penalty taking and powering players' wellbeing to targeting their rivals' tactical weaknesses, AI is underpinning the Three Lions' plans for next summer's World Cup. Could a technology which is beginning to change the world around us really help England to glory in North America?

From a young age, Yushu Xia was keenly aware of the importance of environmental health-a passion sparked by her grandfather, a geology professor and author of popular science books who inspired her love for science and education. Today, Xia combines these interests as an assistant research professor at Lamont-Doherty Earth Observatory, which is part of the Columbia Climate School. Xia's niche: the intersection of soil and agricultural science with modeling and data science, all of which are essential in "truly understand[ing] how soils function," she says.

The National Institutes of Health announced plans for the $50 million grant project this summer to "identify how existing treatments/interventions are used and better understand their outcomes to inform the design of future clinical studies." The funding comes after the administration had previously announced controversial plans to study autism, including a proposed database of individuals with autism comprised of information from sources ranging from pharmacy chains and hospitals, to wearable devices with health sensors, like smartwatches.

At PG&E's weather lab in San Ramon, Scott Strenfel studies a huge digital map on the wall displaying temperatures, dew points and humidity levels across California. At a spot in Kern Hills outside of Bakersfield, wind gusts of 39 mph were forecast to hit. Hey team, thunderstorm outflow down in Kern at 3 p.m., Strenfel calls out to his fellow scientists, each behind double computer screens.

Agencies are being rocked by the rise of AI. The solution? Bring on more humans. No, seriously. On Tuesday, digital agency Incubeta announced its acquisition of RocketSource, a consultancy that helps advertisers understand what drives customer behavior using data science and predictive analytics. The price of the deal was not disclosed. The traditional agency business model is falling apart, according to Alex Langshur, CEO of Incubeta in the Americas, because its cost structure is being "obliterated" by AI.

Ambience Healthcare has developed an AI operating system for documentation, coding, and clinical workflows, aiming to enhance administrative processes in healthcare organizations. With a total of $319.3M in funding, it is supported by notable investors including Andreessen Horowitz and OpenAI Startup Fund.

"Data scientists are great when you want to optimize your product by 2% or 5%, but that's definitely not what you want to be doing when you start a company."

Not all products are created equal, and there's a profound gap between the trust we place in brands and the reality of what's inside their products.

TensorFlow implements a subset of the NumPy API, allowing the execution of NumPy code with acceleration from TensorFlow, providing access to all TensorFlow’s APIs.

"It's one of the few jobs where what you deliver today can impact the business tomorrow - or even the same day."

The metrics we often call vanity metrics aren’t just for show; they often reflect teams' limited scope for measurement in the evolving data-driven security landscape.

She emphasized the idea that moving from exploratory data analysis in Jupyter notebooks to production involves not just technical skills, but also leveraging software engineering principles.

Autonomous agents have swiftly transformed from theoretical concepts to practical applications, revolutionizing various industries by automating complex tasks and enhancing decision-making processes.

Both cache() and persist() store an RDD/DataFrame/Dataset in memory (or disk) to avoid recomputation. cache() is shorthand for persist(StorageLevel.MEMORY_ONLY), while persist() offers more control.

Scot has long been at the forefront of valuation innovation championing computer vision, remote inspection, and hybridized appraisal models with regulatory fluency.

Dask orchestrates work across multiple workers while integrating GPU acceleration through cuDF, enabling efficient large-scale data processing for data scientists.

I learned to create engaging titles and make my writing concise and interesting.