High Technology - Artificial Intelligence & Machine Learning

Consumer Technology

Consumer technology is growing—but competition is fierce, and the risk of commoditization is high. We can help you navigate the changing landscape.

The electronics industry is infusing intelligence into products and connecting them to everything. Companies that figure out how to turn that data into actionable insights will create new business models and deliver greater value to customers.

Enterprise Technology

The shift to cloud and the adoption of new business models have changed everything. We help industry leaders scale enterprise-wide intelligence.

Software and platforms

As the platform economy grows, so does the need to drive continued disruption and growth. We help clients zero in on four areas of opportunity.

Medical Equipment

To drive growth, providers need to innovate with new technology and digitize operations. We spark end-to-end transformation, from R&D to supply chain.

Artificial Intelligence & Machine Learning

It’s ironic that some companies in the high-tech industry making transformative electronics need to reinvent themselves to have a successful future. They don’t have to start over. But they do need to consider how they will transform their products, services, and businesses to answer consumer demand and overcome disruptive market forces.

There are two fundamental dimensions as high-tech heads toward a deep digital reinvention. First, companies must transition from asking, “How can we use what we know?” to examining and engineering: “What do we want to know?” The second dimension is developing the means to answer both — by going deeper and broader into data and insights.

Market-leaders are looking to artificial intelligence to achieve unprecedented scale and speed in getting results. AI enables companies to continuously learn how they can improve processes, enhance partnerships and gauge market forces.

Businesses in the high-tech industry are leveraging AI to reshape three core functions:

Making the business model predictive instead of reactive

Using agile sprints to decrease time to market

Creating an always-improving product development model

Here’s a closer look at how some high-tech and electronics companies are rethinking the way they conceive and bring products to market.

Success Through Sprints

Companies in the high-tech industry can’t wait to see if their products will take hold in the marketplace. If a product misses the mark, a new and improved one has to follow fast. And 12 to 18-month development cycles are no longer viable. Product development has to be quick and nimble and rely more on software, data, and apps than hardware. The best way to answer market demands is to treat design, not like a rigid marathon, but rather as an agile sprint.

Partnering with the client stakeholders in design sessions, we create agile workflows that accelerate the development and release of products. These sessions enable us to collectively create customer experiences with prototypes that identify hurdles in development and work to reinvent the process.

These unique sessions are like training programs for athletes. Through repetition, we test, create, get feedback, go back to the drawing board and sprint all over again. We run several prototype sessions, constantly learning and refining how products can be created fast so that, eventually, real products can quickly answer market demands.