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What's new from Google I/O 2023 for developers: Key announcements

This years I/O can be easily summed up by just one phrase: “AI”. AI absolutely everywhere. Sundar Pichai started, mentioned numerous times and ended the Keynote by mentioning AI. Some of the main announcements around AI for developers included the general availablity of “Bard” supporting 20 programming languages and use of the “PaLM 2” based models with some like “Gecko” small enough to run on mobile devices.

4 ways GPT will change the data and analytics industry

The GPT euphoria got doused with some reality recently as Samsung employees realized they were sending false information to customers and Italy outright banned ChatGPT. The hype and concerns further accelerated last week with the godfather of AI, Hinton, resigning from Google, President Biden summoning AI leaders to Washington, and several stocks nose-diving on the threats generative AI poses to their business models.

Top 7 ChatGPT Use Cases in the Insurance Industry

There has been much hype in the media surrounding language models like ChatGPT because they have the potential to revolutionize our interactions with computers and enable the automation of various tasks. ChatGPT is a natural language processing (NLP) platform driven by Artificial Intelligence (AI). It is trained on a large text dataset and can induce text based on input. ChatGPT can be used for a variety of tasks, similar as language restatement, text summarization, content generation, and more.

Applying AI in Software Development: Best Practices and Examples

There’s no doubt that artificial intelligence has transformed the business world and that more changes are yet to come. In December 2022, the US government issued a report showing that nearly all industries have adopted AI in some fashion to improve their workflows.

A Day in the Life of an SDET: How to Use Automation to Improve Your Workflow

Software testers, or SDETs, have several responsibilities in today's QA-driven software industry. In addition to collaborating with developers to plan and execute tests, they are often responsible for setting up and maintaining continuous integration (CI) processes, analyzing test results, and generating reports for stakeholders. In this article, you'll learn about the evolution of the SDET role and how automation and artificial intelligence (AI) can help improve efficiency.

Decipher the Hype and Reality of ChatGPT for BI and Analytics

ChatGPT’s power is astounding and even more importantly, it is growing incredibly fast. Almost every BI and analytics vendor has initiatives in this area, and while several have implemented integrations, applications are still primarily experimental. The promise is huge, but of course, there are plenty of skeptics with valid reasons. This blog highlights areas where ChatGPT can help business intelligence initiatives, and discusses areas where there may be a bit more hype than reality, for now.

How AI is Revolutionizing the Development Process

Artificial intelligence (AI) is now well and truly mainstream. Once the preserve of futurists and doom-mongers muttering about job losses, it has become a global watercooler topic thanks to the rise of ChatGPT, which promises to transform the way the entire world goes to work. But AI has been a vital tool in the developer’s armoury for a while. It has given us new ways to optimize workflow and focus on those high-level tasks that will be forever human.

Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions, and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection, AI assistant, and MathGPT.