Shaping the Future of Your Workforce

The Future of Work

Future of Work

Today’s businesses are undergoing a digital transformation. The Internet of Things (IoT) is making smart homes, smart factories, and smart cities possible. Autonomous vehicles are changing the transportation industry. Artificial intelligence and machine learning are enabling predictive approaches to decision making and driving business insights.

This digital transformation that is sweeping industries by storm would not be possible without data. Data is the enabler of new technologies and solutions. Data is where important and actionable business insights are derived. In a recent Udacity webinar titled “Shaping the Future of the Workforce,” the discussion centered on how Artificial and data science are the building blocks of digital transformation and there is a massive skills gap and substantial competition for talent surrounding those skill sets.

Regardless of the industry, companies are struggling to find qualified and experienced talent to not only help make sense of all the data but to use the data to be competitive. “How is your company going to deal with all this new information – as quick as your competition? There are key data job openings you need to fill and time is not on your side,” said Andrew Cartwright, Enterprise Sales Lead at Udacity.

Breakthroughs in machine learning, supported by the huge explosion of data are fueling the rapid rate of growth and development of artificial intelligence (AI) regardless of the industry. AI is at the forefront of a tidal wave of disruption. Employees today not only lack the right set of skills, but the ones they currently have are becoming obsolete over time. And, companies want to integrate AI strategies, but the don’t have the right talent with the right skills. In fact, there are less than 10,000 professionals in the world with the skills necessary to tackle AI. “Yet, we know the talent need for AI is over one million and we currently have over 100,000 students studying AI related fields. So, one of the biggest roadblocks in the active adoption of AI across industries is the sheer scarcity of appropriately skilled professionals,” Andrew Cartwright reiterated.

In order for organizations to bridge the talent gap the webinar stressed four key areas:

  1. establish continuous workforce training,
  2. derive proficiency in real-world skills beyond videos and online tests,
  3. establish ongoing workforce assessment and calibration,
  4. generate access to top-tier talent pool, internal and external

Academic institutions, companies, and online education providers are combining their efforts to find and foster talent. Organizations can enrich their staff through internal training, while at the same time creating the right conditions to accumulate and retain new talent.

The concept of lifelong learning is accordingly transforming from a discretionary aspiration to a career necessity. No longer is it a supplemental luxury to learn new skills, and no longer is learning new skills something you do only when you’re pursuing a significant career change. Being relevant, competitive, and in-demand in today’s fast-moving world requires an ongoing commitment to lifelong learning regardless of your role or career path.

At Udacity, we are committed to very similar objectives and strategies. Our industry partnerships are critical to the success of our approach, both in terms of establishing “a true 21st century curriculum,” and for developing a “clearer view on future skills and employee needs.” Our emphasis on learn-by-doing is fueled by our desire to help see every employee we teach be in-demand.

To watch the replay of the webinar, please go here. To learn more about our Enterprise offerings, you can visit: https://www.udacity.com/enterprise

 

Enabling companies to bridge the Artificial Intelligence gap with Nanodegree programs

Emerging areas, such as machine learning, artificial intelligence (AI) and big data, require special skill sets in high demand. Beyond traditional four-year degrees and time-intensive training programs, the alternative paths to developing those skills are limited. The learning required is not something that can be accomplished through a Netflix or YouTube-style exploration of a catalog of videos. Training in machine learning or AI requires deeper, more structured learning and commitment.

As AI moves beyond proof-of-concept and sandbox implementation, companies are looking to recruit top machine learning talent, cultivate AI skills across their workforce, and begin to use this amazing set of technologies for incredible outcomes. There’s just one problem. There’s still not enough AI experts out there to make this a reality – and a huge AI skills gap is opening up as a result. Continue reading “Enabling companies to bridge the Artificial Intelligence gap with Nanodegree programs”

4 Keys to Keeping Your Dev Team On the Cutting-Edge

Pace in the world of development is lightning fast, and even the quickest need to fight to keep up with evolving trends and technologies. When expectations run permanently high, the pressure can be exhausting. Developers are both excited and terrified. For the companies they work for, the questions are daunting: How do we push our teams to deliver superior products and ensure that our company remains a rich environment where innovation flourishes?

There’s no single answer to “What new tech does my team need to know?” so instead, we are going beyond Medium and Twitter to show you four key resources where you can discover the next big trends in the developer community.

Continue reading “4 Keys to Keeping Your Dev Team On the Cutting-Edge”