Systems | Development | Analytics | API | Testing

The FinOps Advantage: Aligning Data Teams with Financial Goals in Databricks Environments

Aligning technical operations with financial objectives is crucial yet challenging. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to unite data teams and finance for Databricks success. You will gain the knowledge and tools to create a FinOps framework that aligns your Databricks operations with your organization's financial goals. With Unravel's Data Actionability Platform, you can see deep insights into your cloud spending and make informed decisions that balance innovation with cost-efficiency.

Unleashing AI's Full Potential: Hitachi Vantara to Help Solve the Data Challenge Using NVIDIA AI

Every article I read highlights the need for rapid adoption of AI, with emphasis on agentic and generative AI redefining the boundaries of data architectures. As organizations expand automation, personalization and real-time decision-making, they face a fundamental challenge: data gravity – especially to meet the demands of AI reasoning inference workloads – is pulling AI workloads toward storage, but disaggregated architectures struggle to keep pace with the need for rapid data access.

Providing Better Customer Experiences With The Help Of Cortex AI

Headquartered in Sydney, Domain Group is a leading Australian property marketplace. Its mission is to inspire confidence in life’s property decisions, and its property marketplace tools reach an average audience of 7 million Australians every month. A long-time Snowflake customer, Domain has started to work with Cortex Analyst in order to enable its staff to query its large data sets using natural language.

What is Embedded Analytics?

What is embedded analytics? What does embedded analytics mean? Embedded analytics is the integration of analytical capabilities and data visualizations into another software application. Also called embedded business intelligence (BI) or embedded BI, this is a modern type of data analytics solution that merges with another software application, rather than acting as its own standalone tool. Traditional analytics solutions, in comparison, require switching to another app.

#shorts - #ChatGPT and #Qlik Merging AI and Analytics

Let's have some fun by merging AI and Analytics. Ever thought about turning an image into data and then back into a recognizable form using analytics? This got me thinking—how else can we use AI and analytics to create something unexpected? What unique data-driven visuals can you come up with? Drop your ideas below!

Strengthen Your Cloud Security With Snowflake's Trust Center

Snowflake’s Trust Center, now in general availability, delivers a unified way to identify, address, and monitor security risks. Discover how scanner packages (Security Essentials, CIS Benchmark, and more) streamline compliance checks, reduce costs, and simplify account security across multiple clouds. See how to configure scans, resolve vulnerabilities, and enforce best practices for user authentication, network policies, and more. Take a proactive approach to safeguarding sensitive data and learn how the Trust Center supports Snowflake’s shared security model.

EP 14: Technology Is Only As Good As the People Using It

The emergence of AI has undeniably changed the business landscape, with leaders across the globe racing to implement the technology for fear of falling behind their peers. But to orchestrate a successful digital transformation and harness the full power of AI, businesses must prioritize cognitive neuroscience and human behavior alongside the technological advancements of AI.

Top 10 Essential Types of Data Visualization of 2025: From Basic to Advanced

Data visualization helps people comprehend and attain insight into big data. It represents complex data in visually interesting ways that assist in our understanding, and paves the way for a greater link between the provided raw data, and our overall engagement with it. Nowadays, we accumulate data in ever-increasing sizes. We need an intelligent way to understand vast volumes of information. In analytics, we often use different types of data visualization tools to convey complex data.