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6 Issues Marketers Need to Consider for Successful AI Implementations

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Despite the many unanswered questions that remain about the use of artificial intelligence (AI) in the workplace and in customer-facing and servicing departments, the growth of AI appears unstoppable. Even as early as two years ago, research from the UK-based digital marketing agency Big Rock found after interviewing 100 senior marketers globally, that AI applications, even at that stage had become one of the marketing departments mainstays. The interviews showed -- again at that stage -- that 55% of companies were either currently implementing or actively investigating some form of AI initiative within their marketing practices. Meaning, AI was already shaking things up in the industry. Unsurprisingly, the research read, this inevitable rise of AI technologies in marketing is causing a major shift in the way companies work.


AI and ML move into financial services ZDNet

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Depending on who you ask, artificial intelligence (AI) and machine learning (ML) are at different stages of maturity in the finance industry, but there is widespread agreement that the technologies are trending upward. This ebook, based on the latest ZDNet / TechRepublic special feature, advises CXOs on how to approach AI and ML initiatives, figure out where the data science team fits in, and what algorithms to buy versus build. On a global scale, AI is expected to become a major business driver across the financial services industry, according to the World Economic Forum (WEF). Seventy-seven percent of finance executives anticipate AI "to possess high or very high overall importance to their businesses within two years," according to the findings of a WEF survey released in January. Specifically, AI will be incorporated into generating new revenue potentially through new products and processes; process automation; risk management; customer service; and client acquisition within the next two years, according to 64% of the WEF survey respondents.


Demand for AI talent more from NON-IT departments: Gartner - TechxMedia

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For the past four years, the strongest demand for talent with artificial intelligence (AI) skills has not come from the IT department, but rather, from other business units in the organization, according to Gartner, Inc. Gartner Talent Neuron data shows that although the IT department's need for AI talent has tripled between 2015 and 2019, the number of AI jobs posted by IT is still less than half of that stemming from other business units (see Figure 1). "High demand and tight labor markets have made candidates with AI skills highly competitive, but hiring techniques and strategies have not kept up," said Peter Krensky, research director at Gartner. "In the recent Gartner AI and Machine Learning Development Strategies Study, respondents ranked "skills of staff" as the No. 1 challenge or barrier to the adoption of AI and machine learning (ML)." Departments recruiting AI talent in high volumes include marketing, sales, customer service, finance, and research and development. These business units are using AI talent for customer churn modeling, customer profitability analysis, customer segmentation, cross-sell and upsell recommendations, demand planning, and risk management.


CIOs face uphill climb in finding skilled artificial intelligence talent

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New data from Gartner Inc. suggests that the recruiting, management, and retention of artificial intelligence talent (AI) will be a strategic challenge globally for the foreseeable future. For the past four years, Gartner found, the strongest demand for talent with AI skills has come from non-IT departments. Departments recruiting AI talent in high volumes include marketing, sales, customer service, finance, and research and development, Gartner said in a press release. "These business units are using AI talent for customer churn modeling, customer profitability analysis, customer segmentation, cross-sell and upsell recommendations, demand planning, and risk management." Gartner TalentNeuron data released Wednesday shows the total AI jobs posted by non-IT departments in Top 12 countries by GDP, grew 74%, to 156,294 through March 2019, from 89,895 in July 2015.


Gartner Says Strongest Demand for AI Talent Comes from Non-IT Departments

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"High demand and tight labor markets have made candidates with AI skills highly competitive, but hiring techniques and strategies have not kept up," said Peter Krensky, research director at Gartner. "In the recent Gartner AI and Machine Learning Development Strategies Study, respondents ranked "skills of staff" as the No. 1 challenge or barrier to the adoption of AI and machine learning (ML)." Departments recruiting AI talent in high volumes include marketing, sales, customer service, finance, and research and development. These business units are using AI talent for customer churn modeling, customer profitability analysis, customer segmentation, cross-sell and upsell recommendations, demand planning, and risk management. A significant portion of AI use cases are reported from asset-centric industries supporting projects such as predictive maintenance, workflow and production optimization, quality control and supply chain optimization.


Gartner: Strongest demand for AI talent coming from outside of IT - AI News

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A new report from Gartner has argued that in the last four years the strongest demand for talent with AI skills has not come from the IT department, but instead from other business units in the organisation. Data from Gartner's Talent Neuron program shows that although the IT department's need for AI talent has tripled between 2015 and 2019, the number of AI jobs posted by IT is still less than half of that stemming from other business units. Peter Krensky, research director at Gartner, said: "High demand and tight labour markets have made candidates with AI skills highly competitive, but hiring techniques and strategies have not kept up. In the recent Gartner AI and Machine Learning Development Strategies Study, respondents ranked "skills of staff" as the No. 1 challenge or barrier to the adoption of AI and machine learning." Sales, marketing, customer service, finance, and R&D are the departments that are recruiting AI talent in large numbers.


AWS Named as a Leader in Gartner's Magic Quadrant for Cloud AI Developer Services Amazon Web Services

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Last week I spoke to executives from a large AWS customer and had an opportunity to share aspects of the Amazon culture with them. I was able to talk to them about our Leadership Principles and our Working Backwards model. They asked, as customers often do, about where we see the industry in the next 5 or 10 years. This is a hard question to answer, because about 90% of our product roadmap is driven by requests from our customers. I honestly don't know where the future will take us, but I do know that it will help our customers to meet their goals and to deliver on their vision.


Gartner: Less than half of AI jobs over the past 4 years were in IT

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Over the past four years, the strongest demand for candidates with AI skills hasn't come from IT departments, but from other business units within organizations. That's according to a Gartner report that found that the number of AI jobs posted by IT was less than half of that from other departments, indicating that hiring strategies haven't kept pace with demand in the AI labor market. In total, in July 2015, IT departments published 14,900 listings for AI jobs compared with the 89,895 AI job listings published by other business divisions. In March 2019, the number of AI jobs listed by IT jumped 363% to 68,959, but listings by other departments far surpassed it with 156,294 (up 74% from 2015). Departments recruiting AI talent in high volumes included marketing, sales, customer service, finance, and research and development, which tapped new recruits for things like customer churn modeling, customer profitability analysis, customer segmentation, cross-sell and upsell recommendations, demand planning, and risk management.


AI augmentation to create $2.9 trillion of business value in 2021: Gartner

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In 2021, artificial intelligence (AI) augmentation will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally, according to Gartner. Gartner defines augmented intelligence as a human-centered partnership model of people and AI working together to enhance cognitive performance. This includes learning, decision making and new experiences. "Augmented intelligence is all about people taking advantage of AI," said Svetlana Sicular, research vice president at Gartner. "As AI technology evolves, the combined human and AI capabilities that augmented intelligence allows will deliver the greatest benefits to enterprises."


AI Predicted to Take Over Privacy Tech

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More than 40% of privacy tech solutions aimed at ensuring legal compliance are predicted to rely on Artificial Intelligence (AI) over the course of the next three years, analysts from the business research and advisory firm Gartner Inc have found. The company--which is set to present these findings among others at the Gartner IT Symposium/Xpo 2020 in Toronto, Canada in May--has found that reliance on privacy tech to ensure compliance with various privacy laws is expected to increase by at least 700% between 2020 and 2023. This marks an increase from the 5% of privacy tech solutions that are AI driven today to the more than 40% that are predicted to become available within the next 36 months. This development comes as companies are increasingly exposed to the combined pressures of privacy legislations and data breach risks. An October 2019 study by Bitdefender, for example, found that nearly 60% of companies had experienced a data breach since the beginning of 2017, and that nearly a quarter of the companies surveyed had suffered such a breach within the first six months of 2019 alone.