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Strategy: Artificial Intelligence Trends in 2019 - Welcome.AI

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INDUSTRY ADOPTION (y-axis): Signals include momentum of startups in the space, media attention, customer adoption (partnerships, customer, licensing deals). MARKET STRENGTH (x-axis): Signals include market sizing forecasts, quality and number of investors and capital, investments in R&D, earnings transcript commentary, competitive intensity, incumbent deal making (M&A, strategic investments). TRANSITORY Trends seeing adoption but where there is uncertainty about market opportunity. As Transitory trends become more broadly understood, they may reveal additional opportunities and markets. NECESSARY Trends which are seeing widespread industry and customer implementation / adoption and where market and applications are understood.


The Factors That Drove Rapid Industry Adoption of the IoT - News

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It is safe to say that in just a few short years, the IoT has exceeded many estimates and expectations. Now, a new report by The Economist Intelligence Unit (EIU), which examines the results of its own IoT Business Index survey and includes in-depth interviews with industry executives, has illustrated just how much the IoT has grown in a relatively short space of time. The EIU's IoT index is based on a global and cross-industry executive survey. Now in its third edition following a three-year hiatus, it shows that a major step change in IoT took place between 2017 and 2020. When the EIU last measured business adoption of the IoT in 2017, it found that a technological transformation had yet to take off.


Talent Leaders: Artificial Intelligence Is Coming Whether You're Ready Or Not

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There is a pending boom of artificial intelligence (AI) capabilities, and organizations will capitalize on them as AI continues to scale, evolve and mature. Over time, AI adoption at the enterprise level will cause an incremental upending of the traditionally known roles, skills and talent composition within every single business function. According to the 2018 Human Capital Trends Report, "The transition to digital business tools is at the top of the strategic agenda for many businesses today." If mobile, social and cloud computing were some of the biggest platform shifts and technological investments that dominated the beginning of the 21st century, AI investments will be considered the next wave of major technological shifts. Forrester predicts that most (if not all) technology functions will be augmented or replaced by AI.


2017 Tech Investment Priorities

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In 2017, IT leaders will be increasing investments in numerous applications and platforms with business intelligence & analytics (71%), securing enterprise information assets (59%), CRMs (47%) and mobile enterprise apps (46%) leading the pack. Additionally, tech leaders shared their focus on specific technology initiatives across more than a dozen areas, including the stage of adoption each technology falls into at their organization. Growth areas that CIOs are researching include Artificial Intelligence (AI), Internet of Things (IoT) and machine learning/cognitive systems. Top areas which have moved from initial adoption to upgrading include business continuity/disaster recovery, data management/storage and co-location services.


Barriers to the adoption of artificial intelligence within the built environment

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Within the Manufacturers Annual Report 2019, it is clear there is still confusion among British manufacturers about the adoption of artificial intelligence. Summarising the report, a very large portion of those interviewed appreciate the benefits of investing in smart factory technologies but are confused by what digital technologies are. In fact, over 50% of those surveyed had no plans to invest in such technology (27% not on their radars, 26% unsure how to implement it). To add perspective, 15% indicated digital technologies were widespread and only 2% suggested their entire factories were digitalised. Of the latter, 77% indicted that such investment would be used to improve design and production processes, with 74% highlighting that it will be used to streamline internal processes within production and administration.