We are looking for an Associate Data Operations Manager to work closely with internal team members to support the APAC team and their delivery of projects. This is a full time role based in Kazakhstan working with teams across the APAC region. We are looking for an organised and analytical individual who will be responsible for providing support across Project Management products and internal projects. You will work closely with both the Data & Analytics Professional Services and Project Management Teams across the APAC region. The role will be varied in nature and feature support of administrative tasks in Project Management, CRM and finance systems.

The Industry 4.0 market is poised to grow significantly. The increasing adoption of IoT in the digital transformation of manufacturing and related industries, the rise of industrial robotics and the proportionally higher spend in the Industrial Internet of Things are just some contributing factors. While we are still in the early days of Industry 4.0 and challenges remain on many fronts such as the integration of IT and OT, data capabilities, implementation challenges, guidelines and strategic capacities, skills, culture, standards and the maturity/readiness levels on the path from sheer optimization/automation to real transformation, Industry 4.0 is also driven by myriad challenges in the supply chain and customer expectations. The Industry 4.0 technology market is forecasted to reach $152.31 In an ongoing quest to deliver the value of Industry 4.0, it is certainly also boosted by national and supra-national pushes in a changing geopolitical industrial ecosystem, further driven by some of the larger players and alliances in the industry.

Artificial intelligence (AI) may have popularized big data but applications like the internet of things (IoT) are taking it to the next level. The need to analyze large datasets to come up with insights and the increasing internet traffic is increasing the demand for data and digital storage services. The global data center market should expand by $304.87 billion between 2020 and 2024, according to a Technavio report. This puts the current global data center market size to more than $300 billion. According to Internet World Stats, in mid-2019 there were more than 4.5 billion Internet users worldwide, That's 58.8% of the global population with Internet access and the numbers are growing as internet penetration improves.

LONDON--(BUSINESS WIRE)--The global artificial intelligence (AI) market in manufacturing industry is expected to post a CAGR of around 31% during the period 2019-2023, according to the latest market research report by Technavio. Manufacturing companies are moving toward the implementation of Industry 4.0 standard to intensify automation to achieve higher operational efficiencies. This is increasing the adoption of a greater number of connected devices and technologies such as big data, ML, and IoT, which is resulting in the generation of high volumes of data. This, in turn, is compelling manufacturing firms to adopt AI-based solutions to extract insights from the data to improve the management of operations. Hence, the integration of industrial IoT and big data is crucial in driving the growth of the market.

According to Kerry Vice President Marketing & Strategy APMEA Parth Patel, Trendspotter was developed in order to both launch F&B products ahead of trend as well as to reduce the lead time for innovation by up to seven months. "Imagine, if as a branded food and beverage player you are able to launch a new product ahead of its trend. Basically, you are creating a runway for yourself and most probably you are going to be the only player, hence chances of success are high," he told FoodNavigator-Asia . "We aim to reduce the lead time for innovation and the chances of failure of new product launches, while increasing the probability of success by focusing on those trends which are emerging and not yet mainstream." The need here comes from high rates of recorded failures – a recent Nielsen study found that 85% of new product launches fail within 18 to 24 months, driving high burdens in terms of cost, time, and effort for all major F&B companies.

The Asia Pacific region is currently capable of learning unbelievably quickly and adapt even faster to the continually altering social trends and professional opportunities that are available. Artificial intelligence and machine learning have evolved to be a crucial trend in the Asian continent. FREMONT, CA: Enterprises plying in the APAC region are far ahead in constructively utilizing AI technology for arriving at business improvements. About 35 percent of companies have reported that through high-end AI, They have been able to record significant value for their business. This trend is sure to continue in the future as well.

The Industry 4.0 market is poised to grow significantly in the coming years. The increasing adoption of the IoT in the digital transformation of manufacturing and related industries, the rise of industrial robotics and the proportionally higher spend in the Industrial Internet of Things are just some contributing factors. While we are still in the early days of Industry 4.0 and challenges remain on many fronts such as the integration of IT and OT, data capabilities, implementation challenges, guidelines and strategic capacities, skills, culture, standards and the maturity/readiness levels on the path from sheer optimization/automation to real transformation, Industry 4.0 is also driven by myriad challenges in the supply chain and customer expectations. In an ongoing quest to deliver the value of Industry 4.0, it is certainly also boosted by national and supra-national pushes in a changing geopolitical industrial ecosystem, further driven by some of the larger players and alliances in the industry. It's interesting to take a look at the key evolutions, drivers and areas of spending in the digital transformation of manufacturing, which Industry 4.0 ultimately is.

BIG DATA and analytics have been around for so long, that sometimes, they sound like'technologies' from a previous generation. Especially with all the talk around using artificial intelligence (AI) and machine learning (ML) to make more sense of all the data that today's businesses collect. However, no business can implement an AI or ML solution without the right digital infrastructure in place. Big data and business analytics, therefore, are simply a part of the digital maturity curve that organizations must climb in order to leverage AI and ML -- and leapfrog ahead of the competition. But this isn't to diminish the value of big data or analytics in any way.

Global Artificial Intelligence in Retail Market is Expected to Grow From US$ 712.6 Million in 2016 to US$ 27,238.6 Inception of exponential technologies such as sensors, robotics, virtual reality, and artificial intelligence in the retail industry has enabled the retailers to enhance their interactions with consumers and transformed the way retail operations were performed. This change in the industry is prominently driven by the seismic shift in the shopping pattern of the consumers, and their preferences backed by demographic dividend across regions. The report focuses on an in-depth segmentation of this market based by retail format, technology, and application. The geographic segmentation of the report covers five major regions including; North Americas, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SA).

AI technology can efficiently manage such huge and complex set of database. Moreover, rising focus on developing a human aware automated system is creating an opportunity across high-tech end –user industries. Furthermore, there are specialised software frameworks to support and develop AI technology. For instance, AI companies in China prefer Tensor Flow and Caffe, whereas companies in Singapore prefer Microsoft CNTK, and Japanese companies prefer Chainer software to support AI technologies. AI technology is a vital part of the digital future which will have biggest impact on the APAC region. Machine learning, natural language processing, big data analytics, speech recognition, voice recognition, and image processing are amongst the major AI technologies to grow at a faster rate in the APAC region.