10 bold predictions for AI in 2024
From personal AI to the data that’ll train it, browse our bets on how AI develops in 2024 and beyond.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
What is AI Analytics?
Imagine your software transforming from merely a tool into a strategic partner that can automatically alert your users to trends, provide explanations of data with a click, and help you ask the right questions of your data-sets - in addition to delivering data-led insights. This is the power of AI analytics solutions for independent software vendors (ISV). Today's users demand more than just functionality. They crave intelligent software that analyzes data, surfaces insights, and empowers them to act.
The Evolution of Conversational AI: From Eliza to GPT-3
Explore the journey of conversational AI from its humble beginnings with Eliza to the transformative capabilities of GPT-3, uncovering insights and trends seldom discussed in the industry.
AI: Friend or Foe of a Tester? | Rahul Verma | #softwaretesting #automationtesting #shorts
Dive into a candid discussion about the intersection of AI and job security in the testing industry. Rahul Verma fearlessly addresses the hard truths surrounding job loss and the role of AI, debunking common misconceptions and shedding light on the real challenges ahead. 🔍 Key Takeaways: Prepare yourself for the realities of AI in testing and equip yourself with the knowledge needed to thrive in an ever-changing industry. Tune in to this eye-opening session and take the first step towards securing your future in testing. #JobSecurity #TechIndustry #TheTestTribe #TechTalks.
Microsoft Copilot: A Tour
Microsoft Copilot is an LLM-powered AI assistant embedded across Microsoft software including its 365 productivity apps Word, Excel, PowerPoint and Teams. Copilot AI assistance features are designed to boost productivity and creativity by providing a natural language interface to knowledge, insights and workflows in Microsoft products.
6 Ways Marketers Are Using Generative AI: Is It Really Saving Time?
AI was the hot topic of 2023 and will continue to reign in 2024: ChatGPT first launched at the end of 2022 and became a massive hit in just a few months. Google released Bard shortly after, and then, new AI tools just kept popping up, prompting marketers to learn how to leverage them to become more efficient and productive.
LLMOps vs. MLOps: Understanding the Differences
Data engineers, data scientists and other data professional leaders have been racing to implement gen AI into their engineering efforts. But a successful deployment of LLMs has to go beyond prototyping, which is where LLMOps comes into play. LLMOps is MLOps for LLMs. It’s about ensuring rapid, streamlined, automated and ethical deployment of LLMs to production. This blog post delves into the concepts of LLMOps and MLOps, explaining how and when to use each one.
Overcoming obstacles in using AI-powered marketing analytics
Learn how Fivetran and Databricks work in unison to enable AI-powered upgrades to marketing ROI.
Top 3 Data + AI Predictions for Manufacturing in 2024
Investment in AI for manufacturing is expected to grow by 57% by 2026. That’s hardly surprising — with AI’s ability to augment worker productivity, improve efficiency and drive innovation, its potential in manufacturing is vast. AI’s predictive capabilities can help manufacturing leaders anticipate market trends and make data-driven decisions, creating financial opportunities for suppliers as well as customers.
Accelerating Gen AI for Customer Service with Fivetran, Google Cloud, BigQuery and Vertex AI
Learn how Fivetran’s automated data movement platform allows you to accelerate building Gen AI applications for customer service in Google Cloud with BigQuery and Vertex AI. Kelly Kohlleffel steps you through creating four connectors to BigQuery, including a relational database connector plus Jira, Slack, and Zendesk connectors. Then you’ll see how easy it is to quickly build two Gen AI apps, one for search and one for chat, using Vertex AI and the new customer service datasets in BigQuery.