Delivering impactful enterprise AI today
As I work with customers across the US, I hear that many find the “promise of AI” to be somewhat overwhelming, with a variety of questions about where to start.
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Modern banking, reinvented: CIBC’s blueprint for successful AI transformation
Financial services organizations continue to navigate the same realities: rising regulatory demands, growing cyber risks, and operational processes that still depend heavily on manual effort. Yet 2026 marks a turning point. With AI rapidly advancing, the sector is facing an inflection point – an opportunity to reimagine complexity and unlock a new era of efficiency,
Banking on AI: How the banking industry is adopting tech to take on the future
David Koscheski | Director of Industry, Banking Ten years ago, it would have been tough to imagine today’s banking landscape. With rapidly evolving technological innovations and changing customer expectations, competition from fintech, Big Tech, and smaller, niche institutions has turned up the heat on the industry as a whole.
Call Center Virtualization – 5 Critical Guidelines Insurance Execs May Miss
Many insurers are realizing a need for transitioning their call centers to operate under remote work models. The technological challenges associated with this type of undertaking are compounded by the need to drive those workloads under compressed timelines.
Securing AI and ML projects: Data and cyber risk management
As Artificial Intelligence and Machine Learning continue to cement themselves as foundational resources for growth and transformation across the financial services industry, organizations must account for the added influx of data flooding into their enterprises.
Marketing During Digital Transformation
Recently at Adobe Summit Valerie Beaulieu gave a breakout session highlighting Microsoft’s journey to become a marketing leader in the digital landscape we all live in today. Below are 5 key learnings Valerie uses to frame the Microsoft story.
Maintaining the customer/agent experience under a remote model
Current events and related government mandates have created sudden and transformative changes for insurance carriers, their agents, and their customers. The resulting transition to remote work environments has disrupted traditional agent-customer interactions. How can customers and their agents continue to interact effectively, despite these challenges? As we know, many agents have long been conducting remote customer meetings over the phone and by email.
Agility, Leadership and Continuity for State & Local Government
It would be an understatement to say that the COVID-19 pandemic has changed our lives, both personally and professionally. All of us are having to adjust to working remotely, while deploying new technologies to address COVID-19, as we collectively work to protect the health of all Americans.
Always-on customer engagement: It’s not just omnichannel anymore
Customer experience is a big focus for businesses today. Customers have more choices than ever, and they are looking at value beyond the features of the product itself to the entire experience, including the evaluation, purchase, and post-purchase steps.
Accelerating Government’s Mission-Focused Outcomes: Microsoft Azure Accredited to Host US Secret Classified Government Data
Today, more than ever, we recognize the need for secure technology that can support our government leaders in responding quickly, and with agility, to rapid changes in the global landscape.
Executing with AI: Reverse Stress Testing using AI Example
Financial institutions are finding it difficult to insert AI into their financial risk products at scale. Financial institutions have been hiring data scientists, acquiring technology, doing POCs, in short, playing around with AI.
From Idea to Value: A process for managing the data science lifecycle in the enterprise
As we enter the new decade, one thing is clear: the explosive growth of data science and AI has made the effective application of them a critical differentiator for any enterprise.
Establishing a smarter supply chain with artificial intelligence
For decades, manufacturing decision makers have made inventory purchases based on experience. Yet, as global trends like sustainability and digitization force markets to evolve, that ability to estimate future need based instinct and education has become less reliable.