IBM anticipated barriers to scaling enterprise AI. We developed a platform to help clients operationalize AI faster while infusing trust and transparency with IBM Cloud Private for Data and the add-on Watson OpenScale.
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while
Host Al Martin, IBM VP of hybrid data management and client success discusses new technology innovations within the automotive industry. Ben Amamba, Chief Innovation Officer (CINO) for Industrial Sector, Watson & Cloud Platform, and David Kevnick, IBM cloud technical sales leader - US
Lunewave's Hao Xin writes, "As a kid, I dreamed about the flying cars and jetpacks that would hopefully define our future lives. Up until recently, the technology that could make them even remotely possible was both expensive and difficult to manufacture. Now, thanks to 3-D printing and machine
On September 13, Rob Thomas together with ESPN anchor Hannah Storm, will lead a discussion around the transformative potential of AI, the importance of a multi-cloud architecture — and how companies representing a range of industries – from manufacturing to health care — are winning with AI. Attend
Gain a fresh perspective on data and AI in the healthcare industry from Tanmay Bakshi. Recorded live at the IBM Toronto Lab in Canada, Bakshi and host Al Martin discuss the impact of data in healthcare, including mental health for youth and helping people communicate through the use of brain
The manufacturing industry finds itself embroiled in major changes these days, and analytics, cloud-based technologies, the Internet of Things and volumes of data are fueling its metamorphosis. See how manufacturing companies are shifting resources toward value-add processes such as
Certain automotive makers are getting ahead of the competition by switching to the use of predictive analytics—rather than reactive analytics. In a recent case study conducted in partnership with Sweden’s Volvo Group, new data insights provided new opportunities for cost savings and operational
When looking for course-changing insight, connecting the dots of information can range from meticulous exercises to bursts of inspiration. However this wow-factor insight may be derived, it can take organizations and industries on a new trajectory characterizing the dawn of an era in which
Traditional transportation models are converging around the development of smart cars—also known as cognitive vehicles—while new, disruptive technologies are coming to the forefront in various industries. But what are the possibilities when these different developments can be unified for the
Change is coming for the transportation and logistics services industry. New regulations, driver expectations and the demands of a connected world are driving OEMs and electronics manufacturers forward.
Road-ready 3D-printed vehicles are no longer the stuff of imagination but of rapidly approaching reality. But how can Internet of Things connectivity and smart technology help keep drivers’ eyes on the road and their hands on the wheel? Discover how safe, smart and sustainable devices are bringing
Over a four-year period, IBM, the European Union and 40 other participating groups worked together to bring about a mass deployment of electromobility infrastructure in pursuit of interoperable and scalable technical solutions and sustainable business models for electromobility. Learn how