Browse our articles with proven strategies, in-depth guides, and expert tips for succeeding with AI & Data.
Traditional data setups, characterized by centralized data lakes and isolated data systems, are proving inadequate in the face of increasing data volumes and evolving business demands. Enter the data mesh paradigm - a decentralized approach that promises to revolutionize data management. However, with any fundamental change, many questions arise. In this case, the key one being: is it worth transitioning to a data mesh?
The rapid adoption of AI in fraud detection is transforming the way financial institutions approach Anti-Money Laundering (AML) strategies. But before embracing these new technologies, financial institutions need to ask some hard-hitting questions: How robust are current compliance processes? Is the system flexible enough to cover the latest regulations? And is the team truly ready for this tech revolution?
For every new drug brought to the market, it costs $6.16 Billion and takes more than 10 years of work. Hence, pharma companies are always interested in new strategies that can facilitate and accelerate the drug development process.
Some businesses start in garages; some at hackathons; others by chance. Ours started with a conversation back in 2017 about how the world could benefit from AI / ML done well and with care. We had a vision and in just a few months a name that embodied it: Visium.
Data-driven companies experience remarkable benefits. According to Tableau, they witness a 35% increase in employee retention and a 40% improvement in time-to-market. But what does it truly mean to be data-driven?
When it comes to implementing AI, one of the biggest obstacles for companies is not the lack of technical infrastructure or cost concerns. The main challenge is choosing the right business use case. So, how do you choose the right one?
Generative models became popular for producing art images or text, however, they can also be applied to anomaly detection. With their ability to learn from unlabeled data, these models offer a powerful solution to tackle complex datasets and enhance real-time detection.
Ever wondered what makes a good data story? In this article we uncover what data storytelling is, its purpose, and what are the essential ingredients for an impactful data story.
Each day, 2.5 quintillion bytes of data are generated in the digital world. But how well are companies tapping into this growth and using it to their advantage? The answer lies in effective data management.
Generative AI, comprising advanced algorithms like ChatGPT and DALL-E, has the ability to produce outputs ranging from text, photos, videos, and code to data and 3D renderings. What opportunities does Generative AI hold for your company?
Most companies believe that AI will seamlessly and magically integrate into their structure. However, it's important to understand that AI is not like a genie in a bottle and it is crucial to have a solid AI strategy in place to achieve the desired outcome.
Discover the new research around early-stage detection of melanoma, if you really should trust your bank’s AI, and how AI solutions are redefining the manufacturing industry by leveraging computer vision technology.
