CIO

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. If you take something slightly risky and make it a thousand times bigger, the risks are amplified,” he says.

Artificial Inteligence 325

Artificial Inteligence Enterprise Trends ChatGPT 325

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

Artificial Inteligence 116

Artificial Inteligence Generative AI Security Applications 116

Hacker Earth Developers Blog

MAY 22, 2020

At the time I was a software engineer. At the time I was a software engineer. Wasn’t doing much Data Science because at that time the company was still in its infancy as far as Data Science and Machine Learning were concerned. So this time I was boomeranging back. Vatsan: Absolutely. I was building.

Machine Learning 130

Machine Learning Artificial Inteligence Software Engineering Engineering 130

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. This has been a strange year. The web is over 30 years old; the Netscape browser appeared in 1994, and it wasn’t the first. What does this mean?

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension. Data evolution.

Architecture 89

Architecture Programming Microservices Serverless 89

Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Deployment model. Out of the Tar Pit, 2006.

Microservices 92

Microservices Metrics Systems Review Architecture 92

Cloudera

JANUARY 11, 2021

At the same time, Central IT must juggle cost and risk. Shadow IT’ projects crop up in LoBs to overcome rigidity that stifles innovation and progress. Modern architecture. Elastic architecture. Which geographic areas (postal codes) are most suitable for conducting trials with available trained staff? . Containerization.

Data 61

Data Pharmaceuticals Open Source Machine Learning 61