Jen Clark

Smart, connected fabric: how AI, IoT and Mitsufuji create safer working environments

Written by Brian Massey | November 19, 2018 | Factories, Manufacturing, Platform...

How can you keep your company relevant and vital in today’s connected world? Can you leverage technology and analytics to advance overall safety for employees? When do you use IoT technology to gain insights into employee’s activities in near real time? How do you provide notifications and preventative measures for their safety? These are questions ...read more


The top 5 takeaways from the Industrial IoT World conference

Written by Lauren Longhi | November 9, 2018 | Manufacturing

From October 29-30, companies from across industries gathered in Atlanta, GA for the Industrial IoT World conference to accelerate their projects “from inspiration to implementation.” As a leader in the IIoT space, IBM was invited to share its expertise. I joined IBM five months ago, and was excited to see our capabilities in person. Here ...read more


How UCSF Health is putting patients first with facilities management

Written by Bruce D Baron | November 6, 2018 | Asset Management, Buildings

If buildings are getting smarter, then medical facilities have to be brilliant. That’s why University of California, San Francisco (UCSF) Health is working with IBM Maximo to create cutting-edge health facilities that aim to keep the patient care environment safe. It started when UCSF Health and IBM partnered to optimize the management of existing health ...read more


The struggle for data quality is real for asset and facilities management leaders

Written by Joe Lonjin | October 30, 2018 | Asset Management

Today’s facilities are swiftly moving towards a smarter ecosystem, with thousands of physical asset attributes to maintain and manage. To support this complex infrastructure, data management is crucial, and has conventionally been a major issue for higher education facilities. Without quality data management, organizations will struggle to define mission-critical information and achieve supported decision making. ...read more


Worker safety: what, why and how IoT and AI can help

Written by Brian Massey | October 25, 2018 | Platform, Worker Insights

Accidents in the workplace are a well-documented problem, with potentially devastating consequences for employees and employers alike. Despite clear safety regulations and procedures, risk management remains a huge challenge for employers in many industries. Today, we’ll look at the role that the Internet of Things (IoT) and Artificial Intelligence (AI) play in addressing this issue. ...read more


Why data science experimentation drags out production optimization programs

Written by Binny Samuel | October 22, 2018 | Manufacturing

Production optimization programs aim to increase production throughput and eliminate waste by leveraging data insights. But what happens when data identification – and creating analytical models relevant to use cases – becomes a job in its own right? Can out-of-the-box templates both support production optimization and reduce the need for data science experimentation? This blog explores ...read more


There’s something for everybody at the Agile Engineering Summit!

Written by Steve Shoaf | October 5, 2018 | Blog

On October 15-17 in Washington, DC, IBM is hosting its 5th event focused on software and systems engineering. Known in the past as IoT Continuous Engineering (ICE) and as Continuous Engineering (CE) Summit, this event is now called Agile Engineering Summit. It will provide opportunities to find out how federal, automotive, industrial, A&D, healthcare and electronics ...read more


Introducing IBM Maximo Enterprise Asset Management SaaS

Written by Bruce D Baron | October 3, 2018 | Asset Management

Today, we announced the launch of IBM Maximo Enterprise Asset Management SaaS, the newest offering for clients looking to combine the power of the cloud with their enterprise asset management platform. What does this mean for our clients? In short, we’re continuing to invest to bring simplicity, security, manageability, and reliability to your computerized maintenance ...read more


Do you have the needed data around yield, throughput, and quality to make sound operational decisions?

Written by Chris O'Connor | October 2, 2018 | Factories, Manufacturing

Here is a bold idea – your machines, your connected systems, your factories all diagnosing themselves and predicting needs before they affect production. What do you think when you read that? Are you thinking early and accurate identification of defects, improved production, optimized throughput, less waste and no product recalls? You should. Because that is what ...read more


Data Integration is still the biggest hindrance to Industry 4.0

Written by Binny Samuel | October 1, 2018 | Manufacturing

Manufacturing plant operators have been working for years on data integration infrastructure in the plant floor. Yet despite the effort, availability of the right data for use cases continues to be an unresolved challenge for the success of Industry 4.0 programs. So what’s the issue? This isn’t because plants aren’t collecting data. In many cases, ...read more


The top three reasons to attend IBM’s Agile Engineering Summit

Written by Steve Shoaf | September 26, 2018 | Events

Calling all developers, architects, integrators and testers! IBM’s Agile Engineering Summit is coming to Washington DC, and we’d love to see you there. From October 15 – 17 we’ll be delivering hands-on labs and in-depth technical talks with everything you need to know about the latest technologies. Here are the top three reasons to attend. ...read more


Overcome production challenges with IBM Production Optimization and IBM Production Quality Insights

Written by Jason Spaulding | September 26, 2018 | Asset Management

This week, we announced the details of two offerings designed to help companies overcome production challenges: IBM Production Optimization, and IBM Production Quality Insights. These solutions support streamlined and efficient production processes that are underpinned by Artificial Intelligence (AI) and machine learning. Together, they increase throughput, improve quality, drive down expenditures and reduce costly waste. ...read more