issued 1 hour ago
Submitted by keysight technology
The biggest barrier to innovation in 2024 is the lack of talent to help develop and deliver innovation. While there are no quick fixes to the talent crisis impacting the technology industry, in 2024 we will be planning and reskilling education programs to help existing talent advance to the next stage of their careers. There will be more and more training and certification programs.
In this article, Keysight executives share their predictions about the challenges and solutions for overcoming the technology talent gap.
Skills silos constrain AI integration in 6G – Roger Nichols, 6G Program Manager
Domain knowledge and AI expertise are essential to successfully integrate AI into 6G networks. Currently, there are either wireless experts or AI experts, but too few people are responsible for sharing expertise in both areas. Until these skill sets converge, it will be difficult to find the right resources to effectively deploy AI to support 6G goals. I believe it will take more than 10 years to resolve this workforce capability gap.
New school solutions for new challenges – Gareth Smith, SM Software Test Automation
Goodbye citizen developers, hello business developers
Citizen developers have long been touted as a solution to the IT talent shortage. However, the rapid growth of AI-powered solutions is emboldening a new generation of business developers. These subject matter experts will become increasingly involved in the SDLC as they understand the company’s goals and operations. This will create a new wave of no-code systems that allow business users to define goals and fill the gaps with AI technology. Operational knowledge ensures that the software meets your organization’s specific needs and reduces risk.
Why AI needs a driver’s license and regular inspections
AI systems are currently being tested by the companies that build them. As risk becomes better understood, having an independent body to verify that AI systems are compliant becomes essential. The first step is to obtain an AI certification (AI driver’s license). However, just like cars, they require regular testing to ensure they are ethical, responsible, unbiased, and meet required national and industry standards.in
AI and Talent: The Age of Augmentation – Marie Hatter, SVP and Chief Marketing Officer
As AI becomes more pervasive, the structure of marketing teams will inevitably change. Lower-level management-focused roles will disappear, and many analytical positions will no longer be needed. But it’s not all doom and gloom. Demand for data scientists will explode and remain one of the most sought-after skill sets for the rest of the decade, unaffected by economic pressures. Humans will continue to drive marketing, but the role of machines will increase year by year. This age of AI (with guardrails) augmenting humans will last at least another decade in marketing.
Closing the talent gap with a quantum leap in education – Dr. Philip Kranz, Quantum Engineering Solutions
The quantum talent shortage creates an opportunity for higher education institutions to offer new programs to help develop the quantum workforce of the future. By 2030, quantum courses will be commonplace. These programs involve industry partners, so students have access to the latest quantum control and readout technologies and gain relevant technical skills. In addition, the business school will offer quantum courses to prepare the next generation of entrepreneurs to enter the quantum ecosystem.
Quantum technology is expanding beyond academia to include startups, high-tech companies, and the military. This is creating more quantum hubs, incubators, and local and national ecosystems seeking to build a workforce capable of seizing quantum opportunities. Addressing the talent gap will be critical to realizing quantum potential in the years and decades to come.
Navigating the digital shift: Design management essentials – Niels Fache, Vice President and General Manager, Keysight EDA
As organizations build digital enterprise workflows, many organizations are investing in design management across tool sets, data, and IP. Going forward, design data and IP management software will play a critical role in the successful design of complex SoCs and heterogeneous chiplets that support large, geographically dispersed teams. Creating a digital thread between requirements definition and compliance and establishing closer links with enterprise systems such as PLM plays a role in the digital transformation of the product development cycle.
Empowerment through education
Keysight is committed to developing tomorrow’s innovators and helping students develop their curiosity and love for science, technology, engineering, and mathematics (STEM) and turn that passion into a career. Education is needed to achieve technological superiority and ensure today’s momentum grows with future generations.
keysight technology
keysight technology
At Keysight (NYSE: KEYS), we inspire and empower innovators to deliver world-changing technologies. As an S&P 500 company, we provide market-leading design, emulation, and test solutions that help engineers develop and deploy faster with less risk throughout the product lifecycle. We are a global innovation partner that enables customers in the communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. For more information, please visit the Keysight Newsroom and www.keysight.com.
See more keysight technology
