If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
We see the growth of people analytics at first-hand at Insight222, where we are now working with over 60 global organisations to help them put people analytics at the centre of business. In tandem we have also created a digital learning academy with myHRfuture to upskill HR in digital and analytics. For the last six years I have collated and published a collection of the'best' articles of the preceding 12 months – see 2014, 2015, 2016 2017 and 2018, and following are my choices for the 50 best articles of 2019. Those who have read the previous annual collections may note that the number of articles that make the cut has steadily risen. This is partly down to my inability to prune down to 30 or 20 - although it was hard enough to get it down to 50! Mainly though this recognises the increased number, variety and quality of people analytics and data-driven HR material now being published, which is another indicator of progress in the field. I hope that the articles selected will act as a venerable resource library for those working, researching or interested in the people analytics space. That is certainly the intention. I have arranged the 50 articles into twelve topics: i) Driving business value, ii) the future of work, iii) the future of the HR function, iv) ethics and trust, v) employee experience, vi) strategic workforce planning, vii) ONA, viii) diversity and inclusion, ix) organisational culture, perspectives and case studies from people analytics leaders, x) retention, xi) assessment and xii) getting started, as well as highlighting a few of my own articles from 2019 at the end. I hope you enjoy the articles selected, and if you do, please subscribe to my weekly Digital HR Leaders newsletter. Ultimately, people analytics should be about creating value – for leaders, for managers and for the workforce. So, where better to start than with seven articles that collectively provide insights on how to create value and/or give examples of where organisations have created value from people analytics.
How has the newer data science technology such as Watson Studio, Watson Machine Learning and Watson OpenScale been received by the business partner community? I mentioned in our previous blog that I was pleasantly surprised at how many IBM Business Partners have established a Data Science practice. The new data science technology has been very well received by our partner community. The partners closed out a very strong Q4 2019 demonstrating the value that they and their customers see in Watson Studio, Watson Machine Learning and Watson OpenScale. This is encouraging and demonstrates that we are building products that resonate in the market with our partners and their customers.
There are three reasons you've likely ended up on this blog post: You and your organization are looking to embark on a digital transformation journey. Your digital transformation efforts have failed and you're looking for a reset. Whatever your reason for being here – or stage of digital transformation (DX) your company is in – defining a digital transformation strategy is a crucial step in the process. Companies of all sizes are seeing enviable business outcomes from digital transformation efforts, such as product and service improvement and innovation, operational efficiency, and increased agility across the value chain. But the path to value starts with defining a strategy for your specific business needs and desired outcomes.
AI is generally regarded as improving global GDP and productivity. Gartner notes that business value will grow to $3.9 trillion by 2022. Enterprises are looking to exploit AI for major gains in business value, but there will also be attrition in companies who focus on using AI to sell solutions rather than focusing on value. However, there are concerns about automating jobs away from American citizens. Other issues, such as Elizabeth Warren's commentary about Big Tech mean that these debates will become more mainstream.
RPA is most commonly thought of as a productivity and efficiency tool – employees simply don't WANT to waste time on the menial, repetitive tasks, and through leveraging automation tools they are afforded the opportunity to focus on the stuff that really matters. However as we enter a new year and a decade of possibilities, we're seeing the scope and application of Intelligent Automation (IA) technologies expand into previously unexplored territories. Tools that can automatically identify processes to automate, act upon this insight, and optimise deployments throughout to guarantee the best possible results. What a wealth of opportunities this could unlock. But what can what we can expect to see from Intelligent Automation in the next year?
Once again, businesses are under attack. We are in the midst of "Disruption 2.0," and this time, the attack comes from within. Previously, in the age of Disruption 1.0, startups were spearheading the battle against established businesses. The old corporate world appeared to be defenseless in the face of these fast, agile, tech-savvy, micro, and, at times, well-funded companies. The fuel that powered Disruption 1.0 was the fact that the technology, the talent, and the funding driving startups all existed outside the corporate walls.
As technology evolves at a rapid pace, the healthcare industry is transforming quickly along with it. Tech breakthroughs like IoT, advanced imaging, genomics mapping, artificial intelligence and machine learning are some of the key items re-shaping the space. The result is better patient care and health outcomes. To facilitate this shift to the next generation of healthcare services – and to deliver on the promise of improved patient care – organizations are adopting modern data technologies to support new use cases. We are a large company operating healthcare facilities across the US and employing over 20,000 people.
With 2019 hardly fading in the rear-view mirror, it's a good time to take a step back and see what's in store for the next 12 months. For those managing and implementing AI and ML projects and deployments, it's been a rapidly evolving ecosystem, and 2020 will be no different. Here are Appen's six 2020 predictions in artificial intelligence worth keeping an eye on. Many organizations continue to experiment with AI but seem to be making slow progress from proof of concept to active program phases. This is because there are still major roadblocks and hurdles to overcome before operationalizing AI at scale.
Simply put, the value of Artificial Intelligence Technologies in the Intelligent Enterprise is not really just about technology. It is also not about a particular tool or capability such as Machine Learning, Robotic Process Automation bots or anything else. The value of AI Technology lies in your ability to actually use this technology to create tangible innovative and time-saving solutions to solve complicated business problems. You do this by taking an end-to-end business process view of the problem and then driving your solution to a defined business outcome. You can create a hundred cool bots, or algorithms or skills – but if they do not somehow or another converge upon a specific business process, and comprehensively address a true end-to-end business solution, they will all remain really cool solutions that sit on a shelf.