We at the moment are at a vital stage in our development of generative AI for enterprises. As consumer generative AI has captured the imagination of thousands and thousands, leaders are developing methodologies that may deliver an efficient and responsible enterprise generative AI strategy.
According to our CEO survey, 60% of corporations will not be yet developing a consistent, enterprise-wide approach to generative AI. IBM® is uniquely positioned to allow you to. The company has a wealthy history of innovation coupled with a deep understanding of what organizations need. The company has a legendary track record of developing great technologies and helping customers deliver business transformation with confidence. For me it’s the right place to assist shape the longer term of our industry.
In 25 years of working on the planet of knowledge, AI and analytics, I've seen how technology can transform corporations, industries and even the best way we live our lives. I've had the chance to work with a few of the most modern teams within the industry: 4 startups, a number of scale-ups and hyperscalers (Microsoft, Oracle and Google), in addition to customers and partners of all sizes. I’m excited to have joined IBM to drive the corporate's data, AI and analytics strategy and execution.
I recently joined Sanjeev Mohan And Ritika Gunnar In a podcast episode, I share why I selected IBM and the way I consider the corporate is uniquely positioned to guide the subsequent wave of transformation through generative AI.
IBM's vision for generative AI is different. It's about greater than just developing state-of-the-art tools. It's about ensuring the technology is trustworthy, scalable and usable to unravel real business challenges.
IBM has a long-standing repute for providing mission-critical solutions in highly regulated industries similar to financial services and healthcare. This extensive experience in constructing trustworthy, secure systems is strictly what corporations need when adopting genetic AI. We're not here to construct AI for AI's sake – we're here to assist corporations transform with AI and do it in a way that’s reliable, ethical and scalable.
So what’s our strategy? At IBM, we approach generative AI with three core principles: trust, innovation and enterprise scalability.
1. Trust as a basis
Trust is central to IBM's AI philosophy. We develop systems that not only deliver results, but in addition provide explanations for a way those results are achieved. For example, consider IBM's collaboration with Credit Agricole, a serious player in banking and insurance with 53 million customers and 147,000 employees. The company is providing an IT system budget of 20 billion euros for the period 2022-2025. As a part of this effort, Credit Agricole is launching two data, AI and analytics solutions powered by IBM software to support its comprehensive IT strategy. These solutions are intended to extend the productivity of employees and customers. The concentrate on auditability is equally essential for regulators. Every AI-powered decision is auditable, promoting compliance and increasing trust in business processes.
I've also seen IBM help transform corporations like American Airlines, which due to the IBM approach (software + consulting + IBM Garage™) was in a position to speed up their development and release cycles to launch a worldwide application in the course of an enormous one hurricane, all while maintaining human oversight of critical decision points.
The terms these customers use to explain these applications will not be “cool experiments.” They are “robust” and “reliable”.
2. Innovation with successful story
IBM is one of the modern corporations on the planet. From inventing SQL to pushing the boundaries with AI systems like Watson and huge language models, IBM has been driving the longer term of technology for over a century. Our history of innovation continues today with advances in AI, hybrid cloud and open source platforms. It's not about being the most recent player; It's about being one of the best reliable, trustworthy and ethical, and IBM is the leader.
3. Enterprise scalability
For IBM, generative AI isn’t a research experiment. In this manner, we help drive business transformation in practice. We construct AI systems which can be scalable, secure, and able to meeting the needs of essentially the most complex enterprise environments. Whether you're in financial services, healthcare, or manufacturing, IBM has the experience and infrastructure to allow you to deploy AI at scale. Our hybrid cloud and AI capabilities enable corporations, no matter industry, to innovate without sacrificing security or compliance.
On the brink of transformation
I consider we’re on the cusp of something truly transformative. IBM is a pacesetter in how AI drives real business value. Our mission is to enable corporations to scale AI in a way that’s each effective and responsible.
AI will change the best way we work, how we make decisions and the way we grow. In the approaching months, we are going to introduce recent generative AI capabilities designed to do that revolutionize how corporations use data, Unlock smarter insights, improve decision-making, and increase operational efficiency at unprecedented levels.
I'm incredibly excited to be a part of this journey and help shape the longer term of AI at IBM. We're just getting began and one of the best is yet to come back. Stay tuned for more updates as we proceed to push the boundaries of what is feasible with generative AI.
If you would like to learn more, join us at IBM TechXchange where we show how we turn our vision into reality. Let’s shape the longer term of AI together.
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