HHMI’s Janelia Research Campus in Ashburn, Virginia has an integrated team of lab scientists and tool-builders who pursue a small number of scientific questions with potential for transformative impact. To drive science forward, we share our methods, results, and tools with the scientific community.
Craig Brabec, the fast-food giant’s chief data analytics officer, discusses how the organization is using AI to boost customer experience and optimize internal operations, among other successes. As one of the most recognizable brands in the world, McDonald’s is always seeking ways to provide faster, better service to its loyal customers—and data and AI may offer an opportunity like none other.
SAP has announced a package of technologies and services under a single contract designed to ease enterprise CIOs’ paths to digital transformation and its flagship software S/4HANA in the cloud. Enterprise organizations were already on a path to digital business transformation when COVID-19 hit last year.
CEOs and corporate leaders are awash with uncertainty due to the persistent transmission of COVID-19, shifting regional dynamics, fluctuating customer demand, and transformational technology disruptions. For industrial companies—those within advanced electronics, aerospace and defense, and automotive and assembly—the decisions made today about their strategy, products and services portfolio, and sustainable performance transformations could have widespread economic repercussions.
Special Report. Leveraging Industrial IoT and advanced technologies for digital transformation With myriad digital technologies offering the potential to boost operational performance at incumbent companies in every sector, leaders can find it difficult to decide where to place their bets.
In the Agile community, there’s this idea that we don’t want to gather metrics, typically because we’re afraid managers are going to use them in an unhealthy way. But when companies make investments, they have a reasonable hypothesis that they’re going to get a return on that investment.
The digital industrial revolution has changed the world in profound ways — and it’s far from over. A global digital society infrastructure continues to expand, fueled by increasing digitalization of data, ubiquitous connectivity, decreasing computing costs and readily available storage.
This is the second part of my blog and webinar series on AI governance and risk management. My previous blog post and webinar discussed how AI is driving the need for data and technology governance to evolve and expand its scope to include ethics, accountability, and risk management
As the coronavirus pandemic unfolded, one leading global engineering and technology services company found itself well positioned to meet unprecedented challenges. The firm had kicked off a digital transformation project the year before, including investing in a data and analytics program equipped with advanced tools.
In the world of technological advancements, smart apps are increasingly used across the globe. Mobile apps offer ease in communication, connectivity, and access to a business. It also helps in taking advantage of IoT in the construction of smart cities and homes. Nevertheless, building a mobile application is not an overnight task. It requires strategic planning and smart execution for a successful app that users love to use. Likewise, it is imperative to know the biggest challenges in mobile app development and troubleshoot it before it creates significant complication development
In an ever more connected world, Esri a global provider of geo-spatial and analytical software is about to embark on a new journey to help organisations understand and analyse vast amounts of Internet of Things (IoT) big data through location intelligence.
The sheer volume of damage caused by widespread security threats can bring large and small organizations alike to a standstill while also causing severe reputational damage. However, this issue is further exacerbated by the fact that these digital threats can now permeate IoT on an industrial scale, compromising the operational capabilities of businesses.
Fill level monitoring is crucial to a variety of industries and simply means checking the fill levels of tanks or storage bins to ensure that they don’t overflow and that they don’t run out. Much like Goldilocks, you don’t want too much or too little, you want the fill level just right .
This is a guest blog post by Gary Bouton and Louis Ashner from EMX. In their own words, “ENGINE Media Exchange (EMX) is a leading marketing technology company, leveraging a patented, end-to-end tech stack purpose-built to meet the demands of today’s digital marketplace. The company creates both open- and closed-loop solutions designed to unify advertisers, platforms, and publishers across digital media channels—including advanced TV, video, display, search, and social.”
