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How Automating Intelligence Speeds Innovation

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Want to Innovate Faster? Start by Automating Intelligence

It's human nature to celebrate innovation, but it's more thankless than it seems. Think about all the blood, sweat, and toil that goes into bringing a breakthrough to life. It's easy to romanticize "the hustle," but most triumphs are short-lived. In a world that prioritizes being first-to-market, innovators can't afford to rest on their laurels. They need to create the next big thing. If not, someone else will.

In an increasingly dynamic world, you're only as good as your latest product release. But accelerated timetables, complex tool stacks, and unforgiving customer expectations take a harsh toll. Keeping R&D, validation, and production teams on the same page isn't easy. Between miscommunication, rework, and retest, it's easy for projects to get off track. When that happens, releases get delayed, budgets get busted, and blood pressures go up across operations teams and business executives.

When there's zero margin for error, how do you conquer complexity and sharpen your competitive edge?

Forging a Path Forward by Automating Intelligence 

We're no strangers to these problems. We've discussed them at length with our friends, clients, and partners — and witnessed their effects firsthand. Over the years, we crystallized those lessons into a singular principle that sets the standard we use to benchmark our tools and software.

Technology doesn't change the world. People do.

Think about the best software tools you've used. They're the ones you don't have to think about too much. They're well designed, easy to use, and don't take a lifetime to master. They make life easier by streamlining complex workarounds — empowering you to focus on bringing your big ideas to life.

At Keysight, we've woven this into every fabric of our software DNA, spanning measurement and simulation, analytics and insights, and workflow automation. 

It's a model we call Automating Intelligence — and it's the foundation that underpins every software solution that bears our name.

“Isn’t there a better way to do this?” 

Modern designs and projects are complex, multilayer, and full of integrated systems. Managing a changing collection of components, parameters, and system-level interdependencies is hard enough when everyone is on the same page. However, R&D, development, and validation teams often operate in silos, making collaboration even more challenging.

These conditions are stifling enough on their own. However, test and measurement has become a notable flashpoint. As validation grows more labor-intensive, projects get bogged down with lengthy bottlenecks and long-term risks.

  • More testing, more time
    According to Forrester, 77% of organizations are looking to increase their test coverage to accommodate for increasing project complexity. Unsurprisingly, 67% report that it will increase the length of test cycles overall. Moreover, 89% of organizations are still using manual test processes. Add all those factors up, and there's little wonder why design cycles are taking longer and longer — costing organizations significant time and money. 

  • More parameters, more problems
    It's practically impossible to test every parameter, so developers and engineers must modify test plans to account for budget, schedule, and quality constraints. However, guesswork leads to risk. Without computer-aided workflows to enhance decision-making, the risk of post-production issues increases dramatically. Failures in the field don't just lead to costly product recalls; they erode customer loyalty, diminish your brand value, and cause crippling market capitalization losses. 

What does all this mean? Engineers need tools to set them free. Untethered from managing complex test plans, fighting against silos, and making risky judgment calls, they can do what they do best: innovate.

The Fundamental Components of Automating Intelligence 

How do software tools accelerate innovation? After decades of working with emerging technologies, pioneering applications, and established industry leaders, we set out to answer that for ourselves. 

In the end, we found that the best tools empower innovation in three fundamental ways. Today, these three components serve as the foundation of our Automating Intelligence software model. Together, they deliver actionable insights that help organizations accelerate time to market, conquer complexity, and reduce risk.

Measurement and simulation data — backed by unparalleled fidelity, precision, and realism

Better metrics reduce labor-intensive tasks and streamline workflows across virtual and physical domains. That's why integration is so critical. A single source of real-time project data enables teams to adapt quickly and bring new technologies to market faster.

  • Physical: Precise instruments make more accurate measurements. No one's debating that, but it's not enough. The tools you use to aggregate, analyze, and interpret the data you collect are critically important. If they cannot adapt to changing industry standards or new rules and regulations, engineers must re-analyze the output themselves. Not only is this a waste of precious time; it's a task your staff shouldn't have to burden themselves with in the first place.

  • Digital: Simulations, emulations, and digital twins are not created equal. As project teams combine physical and digital data into hybrid models, there's an emerging business need for higher-fidelity solutions tailored to real-world applications. These tools improve test plans, prevent cost and schedule overruns, and ensure that products function as promised.

Analytics and insights that boost business intelligence, reduce risk, and improve quality 

Data is good. Insights are better. Solutions that aggregate measurement, simulation, and emulation data aren't enough anymore. To your staff, they're yet another dashboard to manage — full of raw data to analyze and interpret.

Quality analytics sit at the confluence of automation, artificial intelligence (AI), and machine learning (ML). However, they also must be tailored to industry-specific applications and use cases. Otherwise, the insights are too rigid. Practical business intelligence adapts to real-world variables like standards, frequencies, legislation, tool limitations, and customer requirements. 

That's why our tools go beyond pinpointing patterns, trends, relations, and outcomes. We strive to arm you with predictive, application-specific insights that enable you to adapt faster, reduce risk, and improve quality.

A future-proof approach to workflow automation that hastens time-to-market 

In a world defined by being first to market, finishing second doesn't always come with fanfare or medals. When accelerating time to market is the goal, you must pull every lever at your disposal. If your software tools aren't helping you, they're part of the problem.

That's why we embrace a future-proof approach to end-to-end automation. From creating test cases to executing tests and analyzing the results, our tools automate product-specific workflows and eradicate the artificial barriers that hinder design and test teams. 

Peer Through Silos with Metrics that Keep Everyone Aligned 

According to Forrester, automation, AI, and digital twins offer a wealth of business benefits — including improved product quality, customer satisfaction, operational agility, and time to market. But that's only half the story. As projects grow larger and more complex, it's getting harder and harder to keep multiple teams on the same page.

But while silos may be a fact of life, wouldn't it be nice if they all had glass walls?

That's why we build tools that pass data freely between applications and project teams. When everyone's connected to a single source of test and measurement data, it's much easier to see what's going on — and much harder to get off track. And with a portfolio that spans design software, application software, data analytics, test software, software test automation, cybersecurity, network test, and instrument plugins, no project is too expansive or complex. 

Boundless Potential Starts Here 

It's easy to romanticize innovation. The spark of spontaneous genius. The fortune of good timing. The breakthrough that changes the world. It's similar to how some idealize technology — claiming it as the sole catalyst for seismic shifts in humanity, culture, and society. 

But those notions mask an obvious truth: innovation is hard work — and technology is only as good as the people who use it.

On their own, tools and technology can just as easily cause stagnation as they can enable the next breakthrough. However, the human potential for innovation is limitless. And armed with the right tools, people can accomplish anything.

That's why we're committed to equipping innovators with the tools to change the world. That's why we're committed to automating intelligence

The future starts here. 

About the Author

Armando Valim has over 20 years of experience in the test and measurement industry, holding product and marketing roles on both the hardware and software sides of the business. He is recognized for business and technical expertise and has helped develop strong partnerships with Microsoft, Xilinx, Lego, First Robotics, UC Berkeley, MIT, and others. He earned bachelor's and master's degrees in engineering and an MBA.

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