In today’s application economy, everyone is in the software business. Auto makers are putting Wi-Fi hotspots in their cars. Watches are trading gears for motherboards. Even
soda fountains have evolved from dumb machines into instrumented devices with touch-screen user interfaces.
This digital transformation is changing the way applications are developed, tested, moved through environments and released into production—and it’s putting new demands on IT teams with which they’re struggling to keep up.
At a high level, this is because the application delivery systems and processes at many enterprises were put in place when IT only had to push out an annual or semi-annual release. But as market pressures and executive mandates have forced teams to deliver innovations faster and more frequently, a new set of development, testing, automation and customer challenges have appeared—acting as obstacles that stand between you and your digital transformation goals.
To survive and thrive in an era of accelerating digital
disruption, organizations require accessible data,
actionable insights, continuous innovation, and
disruptive business models. It’s no longer enough to
prioritize and implement analytics – leaders are being
challenged to stop doing analytics just for analytics’
sake and focus on defined business outcomes.
In addition, these leaders are being challenged to
bring predictive capabilities and even prescriptive
recommended actions into production at scale. As AI
and accelerated growth and transformation become
top of mind, many enterprises are realizing that their
current segmented analytics approach isn’t built to last,
and that real transformation will require proper endto-
end data management, data security, and a data
processing platform company-wide. The year 2019 will
be a turning point for many organizations that realize
being data-driven doesn’t guarantee future success.
In our current technological age, it’s important for manufacturers to embrace digital transformation or risk getting left behind by the competition.
LNS Research has been studying the industrial software market for years, and in talking with hundreds of successful manufacturers, they found one common theme—the importance of finding a starting point for digital transformation. Leveraging MES software can be a low risk, high-value entry point for manufacturers as they journey toward digital excellence.
Epicor MES allows manufacturers to:
• Gain real-time production information
• Improve productivity
• Lower costs
Read the LNS Research study to learn why an MES solution from Epicor is an important component in reaching operational maturity and digital transformation.
A leader in shale oil and gas production, this global Fortune 500 oil and gas company transformed its business, shifting its focus to oil and gas exploration and production and divesting refineries and gas stations. Central to this transformation was to improve operating performance to deliver more value to shareholders.
Today, organizations of all sizes recognize the value of an agile software delivery process. Agility is the foundation for cost–efficiency, competitiveness, high team morale and customer satisfaction.
Yet most organizations face an agility paradox in that the more agile their software delivery workflow becomes, the higher the risk that instability or unpredictability will be introduced and undercut the investment they make in software production.
Fortunately, there is a solution to this conundrum. It’s called shift–left monitoring, and it allows your company to maximize agility in software delivery without assuming undue risks. This e–book explains how you can achieve agility and stability at the same time to streamline the path to digital transformation and innovation by shifting monitoring to the left of your software delivery workflow.
This series explores the role of modern digital technology in the evolution of manufacturing production, defined here as the value chain of internal and external contributors to the manufacture and delivery of products. Each chapter is designed to help operators visualize how they can build-out production of the future, and how to leverage help from the value chain to make faster progress.
Hyper-complex production meets cognitive computing. Electronics manufacturing is surrounded by continuous complexity. Executives face rising resource costs in traditionally low-cost production markets. They must address increasing customization, shorter lead times, frequently changing requirements and shrinking order sizes – all while managing a sophisticated supply network. They need to examine automation potential and maintain critical institutional knowledge. Thinner margins and increased competition threaten consistent quality, risk greater downtime and reduce desired flexibility. Investments in new equipment and automation systems are increasing the amount of data available from the shop floor, but most is not used to its full potential. Now, cognitive manufacturing is transforming production to address such complexity.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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