Your new post is loading...
Your new post is loading...
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
Earlier this year, I had the privilege of serving on the organizing committee for the DataTune conference in my hometown of Nashville, Tenn. Unlike many database-specific or platform-specific conferences, which tend to focus on analytics and data science, DataTune covers a wide variety of topics such as database engineering, development, administration, and analytics. I was delighted to be joined on the committee by two friends, Dustin Dorsey and Cameron Cyr, authors of Unlocking dbt: Design and Deploy Transformations in Your Cloud Data Warehouse.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 8 data-related mistakes on data projects.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
Key Insights JavaScript is the first programming language for which each change to its prose language specification is both “type checked” and “tested” to identify bugs and inconsistencies. The primary enabler is the automatic extraction of a “mechanized specification” from a language specification written in prose, which allows the generation of a reference implementation of the language from the specification. In addition to reference implementations, mechanized specifications can be used to detect conformance bugs between language specifications and existing JavaScript engines in major Web browsers, and to generate more special-purpose JavaScript implementations, such as static analyzers, in a correct-by-construction manner. A promising approach to programming language development is to first design the language in a mechanized specification and then generate both human-friendly specifications written in a variety of natural languages and correct-by-construction implementations from the mechanized specification.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
The ability to develop crisp mental models around the problems you want to solve and understanding the why before you start working on the how is an increasingly critical skill, especially in the age of AI. Coding is one of the things AI does best and its capabilities are quickly improving. However, there’s a catch: Code created by an AI can be syntactically and semantically correct but not functionally correct. In other words, it can work well, but not do what you want it to do. Having a crisp mental model around a problem, being able to break it down into steps that are tractable, perfect first-principle thinking, sometimes being prepared (and able to) debate a stubborn AI — these are the skills that will make a great engineer in the future, and likely the same consideration applies to many job categories.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
“How AI-ready is my organization?” This question has most likely crossed the minds of all forward-thinking enterprise data leaders at least once over the last several months. We say this because more than 80% of participants in a recent CDO Magazine survey of senior data leaders considered leveraging AI a high priority for the C-Suite of their organizations. The participants listed product/offering innovation, improving decision-making, reducing expenditure, and quality work as some of the motivations behind AI adoption.
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
Version control is a foundational practice for managing changes to source code over time. Here's how version control systems are evolving to meet the demand for scalability, performance, security, and more.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
Kubecost, a Kubernetes cost monitoring and management solution, recently announced the launch of Kubecost 2.0, a major upgrade that brings many new features to help organizations better monitor, manage, and optimize their Kubernetes-related cloud expenses. Some of the new features include advanced network monitoring and improved cost forecasting powered by machine learning, and a high-performance API backend.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
|
Scooped by
Tony Shan
|
Researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have discovered how some images linger in our memories while others fade away. Their study, published in PLOS Biology, reveals new insights into the brain dynamics that govern visual memorability.
Utilizing a combination of magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI), the team has, for the first time, pinpointed both the timing and the locations within the brain where memorable images are processed.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
Analyst firm Intersect360 Research has released its annual report placing the worldwide market for scalable computing infrastructure for HPC and AI at $85.7 billion in 2023, up 62.4 percent year-over-year. This was mainly due to a near tripling of spending by hyperscalers on AI infrastructure.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
With the introduction of Apache Paimon by the Apache Software Foundation (ASF), users can now process data in both batch and streaming modes. Paimon has been under incubation status for a year and has now graduated from incubation to a Top-Level Project (TLP). Apache Paimon is a data lake format designed to provide real-time lakehouse architectures built with Apache Spark and Apache Flink for streaming and batch operations. It provides a streaming storage layer and allows Flink to stream proceedings directly on the data lake.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
CIOs have arrived at a pivotal point in their evolution, taking command of enterprise strategy and cementing their status as full-fledged business leaders — a role they’ve long strived for.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
Unified endpoint management software lets IT manage all endpoint devices — smartphones, laptops, desktops, printers, IoT devices, and others — from a single management console. Here’s what to look for in a UEM platform and key vendors to consider.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
GitHub's Innovation Graph shows JavaScript's dominance, an uptick in the use of obscure programming languages during Advent of Code, and a surge in documentation due to AI-powered tools.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|
Scooped by
Tony Shan
|
|
Scooped by
Tony Shan
|
SASE can provide secure and efficient access to cloud-based services and resources for users, regardless of their location. Follow this checklist to attain this goal.
@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X
|