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Episode 5: Data democratization and readiness for AI | Powell Industries

The key to breaking down data silos and fostering innovation goes well beyond having the right technology. It’s the people and processes that truly drive change. Ajay Bidani, Data and Insights Manager at Powell Industries, shares his perspective on how a strong, inclusive data culture is fueling the manufacturer’s global success.

Data Architecture and Strategy in the AI Era

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

AI in Software Testing: Transforming the Way We Deliver Quality Software

The software testing landscape, while crucial for ensuring application quality, has grappled with limitations in traditional methods for decades. This article explores how Artificial Intelligence (AI) is emerging as a game-changer, addressing these challenges and augmenting the capabilities of testers. By combining advanced machine learning, deep learning, natural language processing, and other techniques, AI offers a powerful toolkit to propel software testing into a new era.

Maximizing Efficiency: Streamlining Your Business with Advanced SFDC Strategies

If you’re navigating the complexities of CRM and business automation, SFDC could be the game-changer you need. With SFDC, or Salesforce.com, businesses access a suite of tools for customer relationship management, marketing automation, and analytics to streamline operations. This article offers a focused look at how implementing SFDC strategies can elevate your data handling, improve customer engagement, and protect your information, all while bolstering your sales and marketing efforts.

How to Search Your Cloud Data - With No Data Movement

Organizations are building data lakes and bringing data together from many systems in raw format into these data lakes, hoping to process and extract differentiated value out of this data. However, if you’re trying to get value out of operational data, whether on prem or in the cloud, there are inherent risks and costs associated with moving data from one environment to another.

How to Unlock the Power of Event-Driven Architecture | Designing Event-Driven Microservices

An Event-Driven Architecture is more than just a set of microservices. Event Streams should represent the central nervous system, providing the bulk of communication between all components in the platform. Unfortunately, many projects stall long before they reach this point.

Unlocking Efficiency and Innovation Navigating JIRA Cloud Migration for Enhanced Project Management

In today’s dynamic business world, seamless transitions between application life cycle management systems (ALM) are crucial for organizations striving to optimize workflows and enhance productivity. JIRA, a robust and versatile project management tool, often becomes the best choice for teams seeking efficient task management, issue tracking, and collaboration capabilities.

Exploratory testing for non-functional requirements: Beginner's guide

In the past, testing for non-functional requirements (NFR) was often neglected, done to the extent possible at the end of the life cycle. For modern development teams, that is no longer an option - to deliver high-quality applications, they have to implement a comprehensive testing strategy with proper allocation of resources to both functional and non-functional components.

The Essential Role of a Data Steward in Modern Business Intelligence

At the intersection of data management and business strategy lies the data steward. Tasked with safeguarding data integrity and enabling informed business intelligence, data stewards are fundamental to modern organizations. They ensure data is clean, compliant, and utilized effectively. Our exploration will detail the crucial role of data stewardship in navigating and leveraging an enterprise’s data landscape.