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AI

AI in Software Testing - What it is and How to use it?

‍ The rise of artificial intelligence (AI) in testing is enabling more predictive and intelligent test generation, execution, and defect analysis. This shift aims to reduce the time and effort required for manual testing to enhance test coverage and improve the overall software quality. Justifiably, key insights from Fortune Business project the growth of the AI-enabled testing market from USD 736.8 million in 2023 to USD 2,746.6 million by 2030.

A New Era of Lifecycle Marketing with the AI Data Cloud and AI Decisioning

Every business has key customer behaviors it aims to drive — whether it's encouraging repeat purchases, promoting product upgrades or boosting add-on services. Yet, despite access to advanced marketing technology and rich customer profiles, most businesses still rely on broad, generalized lifecycle marketing campaigns that fail to engage with customers.

Episode 04: Gen AI in Healthcare

In the latest episode of Digital Vanguard: Zymr's CTO Podcast, Chloe and Sam discuss the impactful presence that healthcare industry can expect from Generative AI. The discussion takes into account, all the major challenges that are face by modern digital ecosystems for healthcare. Sam will tell us about how healthcare businesses can leverage generative AI to deal with these challenges and helps automate healthcare processes, personalize patient care, and empower decision-making.

Harnessing AI for Seamless Software Testing: The Self-Healing Revolution

What drives organizations to make the tough choices between speeding up releases, cutting costs, boosting product quality, and sparing time for innovation? One of the critical reasons is the time consumed in maintaining failed test cases and the inability to leverage AI in testing. Test automation is proving ineffective and outdated due to the high cost and time needed for maintenance.

Truck Talk | Chris Marland Shares How Easy It Is To Handle Legacy Data Migrations With Cortex AI

Welcome to this first episode of Truck Talk! We parked the SnowMobile outside Summit 24 and spoke to some of our Superheroes about Cortex AI. In this episode, Christopher Marland from Aimpoint Digital talks about how Cortex AI makes migrations quick and easy.

Snowflake's AI Data Cloud for Energy: Success Strategies for Oil & Gas and Power & Utilities Transformation

Energy, the driver of the global economy, is undergoing one of the largest secular shifts of our time, propelled by hundreds of trillions of dollars in global investment in the next 25 years. This shift creates a tremendous opportunity for energy companies. And, at the heart of successfully navigating this change sit data and AI.

The AI Gateway Pattern: Adopt AI and Multi-LLM Strategies in a Secure and Governable Way

The AI Gateway Pattern enables organizations to adopt and securely govern AI technologies like large language models (LLMs) at scale. Acting as a centralized control plane, it streamlines data flow into AI models, ensures proper data handling and compliance, and simplifies the management of multiple LLMs. This architectural pattern empowers organizations to leverage AI’s strengths while mitigating risks, maintaining performance, and adapting to evolving technologies.

Data Actionability: Speed Up Analytics with Unravel's New Data Engineering AI Agent

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel introduces the new Data Engineering AI Agent in this recording. Learn how this new AI agent enables teams to go beyond observing data pipelines and code to taking immediate action with purpose-built AI and automation.

4 Ways Gen AI Can Help Brand Advertisers and Ad Agencies Engage Consumers

Uncertainty is the new norm for today’s brand advertisers and advertising agencies. Google has once again changed its stance on third-party cookies, keeping them for at least the time being. With the future of cookies still uncertain, many advertisers have already been preparing to use alternative targeting strategies, such as first-party data and contextual targeting.