Most manufacturing companies are in need of more proactive, cost-effective ways of maintaining operational efficiency. Downtime caused by unexpected equipment failures can result in significant financial losses, decreased productivity, and disrupted supply chains — to name a few challenges. To combat this, more companies have been turning to AI-powered predictive maintenance in manufacturing. A few
After you’ve left Moscone (or the Atrium Lounge!) in your sneakers and your Trailblazer hoodie, backpack and swag-filled tote bag in tow, it’s easy to succumb to information overload. The announcements, the live demos, the guided tutorials and masterful roadmapping, the meetings, the goal setting, the coffee, the coffee… It’s a lot to take in.
Imagine a digital landscape where bank branches stand eerily quiet, their once bustling interiors now vacant. For many banks today, this is a reality as the shift toward digital banking and online transactions reshapes the banking sector and revolutionizes how customers manage their finances, leaving physical branches devoid of the crowds they once attracted. The
AI and data analytics have become indispensable tools for banks that seek to thrive now and in the future. The integration of AI into major platforms like Salesforce, coupled with the power of tools such as Tableau and CRM Analytics, has made the benefits of AI more accessible than ever in the financial services industry.
Authors: Paul Harmon and Josh Fleischer In November of 2022, ChatGPT, a groundbreaking new chatbot that produces remarkably natural and accurate text responses, launched. The sheer effectiveness of the tool made it a topic of significant discussion, and it very quickly became a well-known tool not only in the AI and machine learning world, but
Data is the lifeblood of organizations. But understanding data and using it to drive meaningful insights can be a real challenge. Many data scientists spend a lot of time wrangling data instead of focusing on what matters — creating models that deliver real value for their business. In many ways, the promise of machine learning
Welcome to 2023! When I was a kid, I imagined what life would be like in the 21st century. Surely I would enjoy flying cars, space tourism, and a robot sibling who wouldn’t steal my Legos. I never imagined smartphones, wireless internet (or internet at all), or chatbots. But here we are. With the new
Artificial Intelligence enables machines to learn from experiences, which gives them more power and the ability to perform tasks that previously required humans. AI-Driven technologies like self-driving cars and social media monitoring are dependent on deep learning, natural language processing, and machine learning. Using these technologies, computers are trained on large amounts of data to
Predictive Analytics has the power to revolutionize almost any industry. It’s especially useful for financial institutions like banks and fintech firms because they help gain access to the subconscious behavior of customers. This includes their spending and saving habits, social habits, and more. We can use this data to personalize service for customers and customize
Over the past few years, A.I. and machine learning have disrupted the entire landscape of how we consume products and services as customers. This trend continues as more companies are starting to realize the benefits of incorporating big data and machine learning into their business models and as a part of the services they offer.