Corporate Strategies Tag Archives - 足球竞彩网 Assembly Blog

From Ag to AI: Reimagining Tech Talent at John Deere

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From Ag to AI: Reimagining Tech Talent at John Deere

When discussing innovative tech firms, 187-year-old John Deere might not be the first name that springs to mind. Known better for its iconic green and yellow tractors and trendy hats, most people are surprised to learn that the company is also a pioneer and long-time leader in AI and robotics.

The storied agricultural industry giant currently boasts an impressive array of technological achievements:

  • It is the world¡¯s largest autonomous vehicle operator
  • It recently sealed a game-changing partnership with SpaceX to bring SATCOM connectivity to its machinery
  • It¡¯s earned top honors for Innovation in Robotics at the CES? Innovation Awards

While John Deere’s evolution from traditional manufacturer to tech powerhouse has been ongoing for decades, it wasn’t until 2019 that the transformation hit full throttle with the adoption of an Agile operating model.

The initiative¡¯s success largely hinged on reimagining the company¡¯s approach to talent management, along with advancing a fundamental shift in organizational culture. ¡°Our Agile move was about becoming a customer-centric organization and really transforming how the entire company worked,¡± explains Renae Shannon, Global IT HR business partner at John Deere. 

Below, we share her insights on how John Deere built a tech-forward workforce ¡ª and the pivotal role HR professionals play in shaping the workforces of the future.

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Leading Through Change: Why it Pays to Reskill & Redeploy Workers Instead of Laying Them Off

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A man and a women sitting at a tall table discussing the benefits of reskilling

Estimated reading time: 6 minutes


Layoffs have become an unsettling norm across industries. Companies that rapidly staffed up during the pandemic in response to surging demand are trimming staff as demand wanes. It¡¯s a vicious cycle ¡ª many of these companies will be hiring again within the next year to keep up with a constantly shifting consumer landscape.  

Most recent layoffs have disproportionately affected non-technical employees, hitting departments like human resources, recruiting, and marketing hard. They¡¯ve also had other ripple effects ¡ª shelving diversity initiative progress and causing anxiety throughout the workforce. And to add to it all, companies are still struggling to recruit for tech roles and continuing to invest in digital transformation efforts in hopes they¡¯ll be more efficient and competitive in the future. A future that¡¯s already here. 

TL;DR: There¡¯s a severe imbalance in the labor force, and companies need to think about modernizing their workforce like they think about modernizing their tech. It¡¯s time to move past the band-aid effect of layoffs and upgrade to a truly sustainable talent strategy. 

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5 Reasons Why T-shaped Employees Are The Future of Work and How They Offer Businesses a Competitive Edge

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GA Students in classroom working on laptops and writing on a whiteboard

Estimated reading time: 5 minutes

The tech workforce of yesterday is not the workforce of today – and it certainly won¡¯t be the workforce of tomorrow. 

Technology is evolving rapidly, and companies are struggling to keep up with the pace of digital transformation. Traditional college degrees aren¡¯t evolving rapidly enough to equip entry-level employees with future-proof skills. Software engineers, developers and designers who joined the workforce ten or more years ago already have outdated skill sets. 

Many companies are turning to upskilling and reskilling programs to modernize their workforce. But one type of employee is pivotal to shoring up a company¡¯s culture for the next wave of innovation: the T-shaped employee.

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Beyond Tomorrow: 5 Ways Business Leaders Can Prepare for the Future of AI

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GA Business leaders talk corporate strategies at a roundtable

Estimated reading time: 6 minutes

What was once thought to be a flash in the plan is now transforming businesses across the globe. If there’s anything we’ve learned this year it’s that generative AI is here to stay¡ªand it¡¯s here to change everything about how we live and work.

According to an IBM report, 35% of businesses worldwide are already using AI¡ªand within the next 10 to 20 years, virtually every business and government agency will, too. Many companies are already tapping AI in new and exciting ways, from customer service chatbots to copywriting and even diagnosing medical conditions. At the same time, AI has brought ethical questions around copyright, employment and bias to the forefront. Today¡¯s business leaders must understand how to harness the potential of AI, and learn to address the challenges it presents. 

Most critically, companies need to prepare their workforces for a new world of work, where employees will collaborate closely with AI on a daily basis. As organizations race to adopt AI and gain a competitive edge, talent with AI skills are in high demand. According to some reports, they are landing salaries of $900k. Competing in this landscape can feel like it’s impossible. We¡¯ve got you covered with strategies that will position your workforce for an AI-powered future. 

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Building a Future Ready Workforce: How Employer and 足球竞彩网 Partnerships are Leading The Way

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With the technology industry changing faster than ever, companies need a workforce that can evolve just as quickly. But how can these companies develop a pipeline as agile and versatile as the workers they hope to employ one day? And how can private and public sector partnerships build future-proof workforce development programs by tapping into their communities

Our VP of Government & Workforce Partnerships, Priya Ramanathan sat down to discuss this problem with Kelly Martin (Head of Strategy & Operations at M&T Bank) and Sarah Tanbakuchi (President & CEO of TechBuffalo). They fleshed out lessons they¡¯ve learned, particularly from the hard-working graduates that made up their first Data Analytics cohort. Keep reading to get crucial tips for rethinking your candidate pipeline. 

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