Recruitment is one of the core responsibilities of the HR department, with the hiring team being composed of individuals with the skills to conduct the vetting process. These individuals interact with candidates to ensure that they are the fit for the role. But what happens when the "human" aspect of recruitment is removed entirely? Can artificial intelligence replace humans and still hire the right people? AI, in the form of machine learning, plays a huge role in hiring people.

Technology has become so advanced that, today, there's an app for almost anything, from children's education, to home improvement, to health monitoring, to workplace productivity. Gathering critical data to determine the best action to apply to specific situations has become integral in people's daily lives. Because of technology, critical decisions are now mostly based on scientific data. This makes every action more precise and error-free, especially in the business world. By using artificial intelligence and machine learning, industries can better cope with their consumers' demands.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. While it's true that the adoption of artificial intelligence in various applications is yielding tangible results for all kinds of enterprises, there is a downside: AI's full potential isn't being realized because of a lack of human expertise to optimize it for business purposes. A new global research project conducted by Juniper Networks and Wakefield Research and released June 15 shows an increase in AI adoption during the last 12 months, but a shortage of human talent is holding a great deal of good implementation back. Governance policies involving AI continue to lack maturity, the report said, and this is also a stumbling block. Both of these factors are needed to responsibly manage AI's growth when considering privacy issues, regulation compliance, hacking and AI terrorism, the survey said.

Digital transformation has become a business imperative in the wake of the pandemic. Companies that have not modernized their processes and integrated cloud and analytics capabilities are severely disadvantaged. Genpact's latest study, "Data-Driven Business Transformation," reveals that only 8% of enterprises have fully modernized. This digital divide will result in those companies who can move quickly and take advantage of new opportunities, leaving behind those who are not. In addition to Genpact, Peak's latest report, "State of AI 2022," revealed that 55% of enterprises will be AI-First by 2025.

These are welcome and encouraging developments, but what's the next AI frontier for leaders in the business community? As I look to what 2022 will bring, I believe that we need to steer this fast-moving tech ship responsibly, even as we stay bold and brave in exploring the art of the possible. In the private sector, we can expect businesses in all areas to use AI as a vehicle to speed up the discovery of new relationships and connections, as well as to elevate the user experience. It will be put to work in back offices, proactively flagging issues and finding creative solutions to problems invisible to the human eye. We can also expect the traditional call center model of customer interactions to become the exception rather than the norm. Instead of relying on human agents, companies will shore up the might of robot armies to take care of the repetitive work and so free up valuable human resources for other tasks, and that's a positive.

Logistics giant Deutsche Post DHL says deployment of an AI-powered internal career marketplace has started to allow its half a million-plus global employee base to take charge of their own career paths. The company also claims that the technology is encouraging team members to build personal profiles that showcases their skills, helping them quickly find relevant training tools to fill skill gaps. The new system - delivered as part of what the corporation sees not as old-style'learning and development', but more modern'learning and growth' - is also claimed to support retention through internal career progression. It is also seen as boosting productivity, as employees feel more supported and empowered. The tech - from AI-powered people experience platform supplier Cornerstone - was also able to do in less than five minutes, what an average two years of learning and development (L&D) effort had been unable to: achieve 85% accuracy of skills categorization, even from a non-customized version.

Based on our own experience implementing Yed.ai at Advanced Programming Solutions, some insights from our customers and research papers (Corea et al., 2020; Lewandowski et al., 2021), we dare to share here some tips to make your chatbot implementation journey smoother. Is it a task oriented bot? Or is it a bot to promote conversation and engagement? If task oriented: what are the KPIs? How will you measure success?

Building deep and ongoing data science capabilities isn't an easy process: it takes the right people, processes and technology. Finding the right people for the right roles -- as employers and job seekers alike can attest to -- is an ongoing challenge. In this special feature, ZDNet examines how advances in AI, visualization and cloud technology are shaping modern data analytics, and how businesses are addressing data governance and a potential data science skills gap. "The people part is probably the least well-understood aspect of this entire equation," John Thompson, global head of advanced analytics & AI at CSL Behring, said during a virtual panel discussion on Thursday. As the head of analytics at one of the leading international biotechnology companies, Thompson oversees data science teams that tackle a wide range of initiatives.

This failure was aggravated by pressures in Washington to rack up successes very quickly. Officials poured billions of dollars into Afghanistan, mistakenly believing that more money would yield faster results, when in fact the cash just swelled the corruption. When officials realized this fact, they tried filtering the money through unofficial channels--and, as a result, the few honest officials in the Afghan government never learned how to manage those own agencies. U.S. personnel policy also deepened the morass. Washington's "inability to get the right people into the right jobs at the right time" marked "one of the most significant failures of the mission."

Developed by experts from Sweden's Lund University, the approach has the potential to speed up diagnoses while removing the need for costly, specialist equipment. At present, some 20–30 per cent of patients with Alzheimer's disease are misdiagnosed in specialist care alone, let alone primary care, the team noted. A new tool -- using just a blood test (pictured) and a quick set of cognitive tests -- can predict whether someone will develop Alzheimer's in four years with 90 per cent accuracy'Our algorithm is based on a blood analysis of phosphylated rope and a risk gene for Alzheimer's, as well as testing of memory and executive ability,' said neurologist Sebastian Palmqvist of Lund University and the Skåne University Hospital. 'We have developed an online tool to calculate the risk at the individual level that a person with mild memory difficulties will develop Alzheimer's within four years.' In their study, Professor Palmqvist and colleagues examined 340 people with mild memory difficulties who had been recruited into the Swedish BioFINDER Study into neurodegenerative diseases and 543 people from North America.