Remove 2022 Remove Experimentation Remove Optimization Remove Testing
article thumbnail

12 data science certifications that will pay off

CIO Business Intelligence

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

article thumbnail

The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.” When will Z end? years, with an additional 7.4

Sales 125
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Generative AI’s change management challenge

CIO Business Intelligence

Although ChatGPT, the poster child for generative AI applications, only launched in November 2022, already 26% of workers say they use generative AI several times a week, while 46% have experimented with it at least once, BCG found. A smaller BCG survey five years ago saw 60% listing curiosity, 35% optimism, 40% concern, and 17% confidence.

article thumbnail

What Heineken’s CIO is brewing for better connectivity

CIO Business Intelligence

As of its Q3 2022 trading update, the company achieved €4.3 Ing Yan says it’s already helped detect and resolve customer churn, and improve sustainability by reducing sales travel by 30% through optimal routing. Ing Yan says 28,000 training modules were completed in 2022, varying from basic principles of digital to more complex topics.

article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

article thumbnail

CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

OpenAI’s November 2022 announcement of ChatGPT and its subsequent $10 billion in funding from Microsoft were the “shots heard ’round the world” when it comes to the promise of generative AI. in concert with Microsoft’s AI-optimized Azure platform. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

Risk 139
article thumbnail

Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

AWS Big Data

This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Solution overview To set up and test this experiment, we complete the following high-level steps: Create an S3 bucket. Load the dataset into Amazon S3.