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Articles

AI in Banking: Trends, Challenges, and What Lies Ahead
A few years ago, Bill Gates famously predicted that digital innovation would disrupt the traditional banking sector, saying, “The world needs banking, but it does not need banks.” Digital technology lived up to that expectation, transforming the way companies operate and the products and services they provide over the last 25 years. Banks have undergone a fundamental shift. Now, we’re standing at the edge of another major transformation — this time driven by AI.
AI-Driven Strategic Innovation Transforming Business Models
AI may be everywhere, but it’s only as valuable as the vision behind it. While it can’t innovate alone, businesses that use AI effectively can completely reimagine their offerings. It’s time to shift from thinking about AI as a destination and start seeing it as a tool for innovation, driving real business transformation.
The role of data literacy in building a data-driven culture
Any mention of a data-driven culture has people nodding in agreement, wishful thinking, or secretly doubting its feasibility. For some companies it became almost a mantra. But what if employees are still not ready to work with data? Central to overcoming this challenge is data literacy. Are leaders aware of why it matters so much?
The Secret to Conversational AI: How to Build Effective LLM Chatbots with RAG
Most companies find building an LLM Chatbot with RAG easy, exciting, and one of the quickest fixes to customer and employee experience with knowledge retrieval. And that's precisely where two of the biggest misconceptions about building a RAG chatbot hide: assuming that it's heavily based on LLMs and that it simply works well.
Inside Tetra Pak’s AI Journey: Interview with Alberto Barroso
From optimizing supply chains to pioneering sustainable products, Tetra Pak is leveraging AI across different areas in their organization with over 15 successfully launched AI use cases in the past few years. So, we sat down with Alberto Barroso, Head of the Decision Science at Tetra Pak, to discussed the ins and ons of designing successful AI programs.
Inside TE Connectivity's AI Journey: Interview with Brontë Hamilton
As AI continues to reshape industries and organizations, the world seeks insights from pioneering companies that have boldly embraced AI to learn how to navigate its complexities. Recently, we had an incredible opportunity to sit down with four industry leaders at AMLD EPFL 2024 and talk about their perspectives, thoughts, and experiences on structuring and designing winning AI programs.
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Visium Joins Google Cloud Partner Advantage
Visium is thrilled to announce it has joined Google Cloud Partner Advantage as a Google Cloud Partner level partner for the Service Engagement Model. This collaboration enables us to offer enhanced data management, machine learning, and AI solutions powered by Google Cloud’s innovative technology.
The Battle of Old and New: Traditional vs Modern Data Platforms
Long gone are the days where you had to buy hardware, create server rooms and hire, train, and maintain a dedicated team to run it. Cloud-based data platforms are the new norm. They offer a more agile, scalable, and cost-effective approach to managing and leveraging data. But does that mean the traditional data platforms are dead?
On Excellence, the Perfect Timing for AI Innovation, and Data Economy: An Interview with Visium's Founders
We're living in what could be the most important century. And at the center of this era is Artificial Intelligence and data science, reshaping all aspects of our lives. So we sat down with Visium's founders, Alen Arslanagic, Timon Zimmerman and Matteo Togninalli, to explore their perspective on the challenges and opportunities of AI adoption and on building a customer-centric and authentic AI and data company.
How is AI and Machine Learning Used in Healthcare? 5 Transformative Applications
AI and ML in healthcare, backed by data availability, are transforming patient care. Examples like FDA-approved AI/ML medical devices and AI-enhanced autoinjectors illustrate their impact in diagnostics and care delivery, improving accuracy and patient outcomes. So what are some of the most transformative applications of AI and Machine Learning in healthcare?
Data Mesh: A Decentralized Approach to Data Architecture
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?
10 Questions to Ask before Adopting AI for AML Fraud Detection
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?