Any AI strategy involves thinking globally about data. The company needs to think about the data sources it can exploit, then implement the means to collect, refine and prepare it so it can power AI algorithms.
To develop AI algorithms efficiently on an industrial level, companies will need to adopt the MLOps model. This involves deploying a global AI platform, and integrating all the tools required by data engineers and data scientists to do their work. Platforms as-a-Service in the cloud are one way to delegate this complexity to a third party.
View WhitepaperManufacturing organisations find themselves facing multiple challenges and opportunities.
These include managing the complexities of remote working, keeping ever more complex production lines running efficiently, enabling and empowering employees and maintaining the highest levels of customer service. ...
Today, keeping manufacturing processes running smoothly calls for close collaboration – between personnel, between machines and increasingly, between people and equipment.
New digital solutions are providing more ways for employees to access data wherever they work and more flexible communications that support the never-ending quest for higher productivity.
In this Insight Guide, we look at some of the ways digital transformation can help manufacturing organisations meet the growing challenges of a changing world and deliver better custom ...
As the fourth industrial revolution unfolds, digital technologies are providing powerful solutions to the existing and emerging challenges facing manufacturers.
From car making to cosmetics production, nearly 65 per cent of UK businesses plan to invest in innovative digital technologies including automation, artificial intelligence (AI) and additive manufacturing over the next couple of years. ...
Achieve your best RTOs and RPOs
In an increasingly digital world, all organizations, across all industries, are susceptible to disruptions resulting in downtime and data loss. Given enough time, it is almost guaranteed that your organization will encounter a disruption. Whether caused by a cyberattack like ransomware, a natural disaster, or a human error, each disruption causes enormous financial cost from lost productivity, lost data, and loss of reputation.
When a disruption occurs, an unprepared organization may not be able to recove ...
In this whitepaper you will learn:
• Why making the most of your data can be a competitive advantage
• How to get your data to work for you so you can focus on innovation
• Why choosing a well-rounded data warehouse option matters
• How to approach your data migration journey with confidence
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