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Baidu Research: 10 Technology Trends in 2021 - KDnuggets

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While global economic and social uncertainties in 2020 caused significant stress, progress in intelligent technologies continued. The digital and intelligent transformation of all industries significantly accelerated, with AI technologies showing great potential in combatting COVID-19 and helping people resume work. Understanding future technology trends may never have been as important as it is today. Baidu Research is releasing our prediction of the 10 technology trends in 2021, hoping that these clear technology signposts will guide us to embrace the new opportunities and embark on new journeys in the age of intelligence. In 2020, COVID-19 drove the integration of AI and emerging technologies like 5G, big data, and IoT.


Introduction to Artificial Intelligence for Beginners - Analytics Vidhya

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We have come a long way in the field of Machine Learning / Deep learning that we are now very much interested in AI (Artificial Intelligence), in this article we are going to introduce you to AI. The short and precise answer to Artificial Intelligence depends on the person you are explaining it to. A normal human with little understanding of this technology will relate this with "robots". They will say that AI is a terminator like-object that can react and can think on its own. If you ask this same question to an AI expert, he will say that "it is a set of patterns and algorithms that can generate solutions to everything without being explicitly instructed to do that work".


Responsible Data Management

Communications of the ACM

Incorporating ethics and legal compliance into data-driven algorithmic systems has been attracting significant attention from the computing research community, most notably under the umbrella of fair8 and interpretable16 machine learning. While important, much of this work has been limited in scope to the "last mile" of data analysis and has disregarded both the system's design, development, and use life cycle (What are we automating and why? Is the system working as intended? Are there any unforeseen consequences post-deployment?) and the data life cycle (Where did the data come from? How long is it valid and appropriate?). In this article, we argue two points. First, the decisions we make during data collection and preparation profoundly impact the robustness, fairness, and interpretability of the systems we build. Second, our responsibility for the operation of these systems does not stop when they are deployed. To make our discussion concrete, consider the use of predictive analytics in hiring. Automated hiring systems are seeing ever broader use and are as varied as the hiring practices themselves, ranging from resume screeners that claim to identify promising applicantsa to video and voice analysis tools that facilitate the interview processb and game-based assessments that promise to surface personality traits indicative of future success.c Bogen and Rieke5 describe the hiring process from the employer's point of view as a series of decisions that forms a funnel, with stages corresponding to sourcing, screening, interviewing, and selection. The hiring funnel is an example of an automated decision system--a data-driven, algorithm-assisted process that culminates in job offers to some candidates and rejections to others. The popularity of automated hiring systems is due in no small part to our collective quest for efficiency.


Top Professional Careers In AI (Artificial Intelligence)

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Technology is not showing signs of slowing down any time soon. As we move into cloud computing, big data, natural language processing and artificial intelligence, the employment sector is gearing up for a big boost in the number of opportunities. Organisations such as Google, Microsoft, Facebook and Apple are aggressively hiring people with expertise in these domains, which makes them highly lucrative. Artificial intelligence is particularly on the cusp of a breakthrough. Technologies such as machine learning, neural networks, genetic algorithms and deep learning are receiving a lot of spotlight.


AI remains priority for CEOs, according to new Gartner survey

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For the third year running, AI is the top priority for CEOs, according to a survey of CEOs and senior executives released by Gartner on Wednesday. The findings also revealed that the metaverse, which has received a lot of hype in the last year, especially since the rebranding of Facebook to Meta, is not as relevant to business leaders – 63% say that they do not see the metaverse as a key technology for their organization. It's not a big surprise that AI continues to be on the mind of top business leaders. As TechRepublic reported in June 2021, 97% of senior executives planned to invest heavily in AI. Jobs in AI, which are often high-pay, are also in demand, according to the jobs board Indeed.com.


Buy Google 5 Star Reviews.100% best and non drop reviews services provider

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Buy Google 5 Star Reviews. Purchase Google 5 Star Reviews, are crucial pieces of the virtual business world and extremely fundamental for online retailers. Since a little inquiry Google is that the program ruler. In this way, Google Business Reviews are clearly preferred by the program and appear upon each significant outcome, to have a legit presence on Google, the main spot to begin is by getting more Google Places Reviews. Purchase Google Reviews can set aside time and is cash since it is vital to uncover your business notoriety quickly.


How AI is a Boon For Retail Business in India

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The retail business is getting back on track and has been witnessing steady growth after the dismal impact of the third wave. There has been buoyancy in the market with the removal of lockdown restrictions. After a long time of distress and uncertainty, things are getting back to normalcy as businesses have started taking pertinent steps to resume operations and focus on sales, marketing, and inventory management. The realization of digital transformation coupled with the indispensable role of artificial intelligence (AI) has been one of the major outcomes of Covid-19 implications on the retail sector and the vast possibilities and opportunities it can create with such transformations. With the emergence of e-commerce, buyers experienced the first crucial shift that successfully made it possible for them to buy things from anywhere at any time.


Artificial Intelligence for Business

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Artificial intelligence has a wide range of uses in businesses, including streamlining job processes and aggregating business data. We will show you exactly how to succeed these applications, through Real World Business case studies. And for each of these applications we will build a separate AI to solve the challenge. In Part 1 - Optimizing Processes, we will build an AI that will optimize the flows in an E-Commerce warehouse. In Part 2 - Minimizing Costs, we will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%!


5 digital transformation and talent retention ideas from MIT Sloan Management Review

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Many of today's business challenges revolve around two core topics: navigating digital transformation and retaining talent. The latest insights from MIT Sloan Management Review focus on looking past common misconceptions about digital initiatives, setting the right KPIs for digital transformation success, and changing corporate culture and business operations so employees are more likely to stay. Just as today's business leaders should rethink common assumptions about the world of work and re-examine customer expectations, they may also need a new mindset about driving change. MIT Sloan senior lecturer George Westerman identifies four managerial assumptions about digital transformation that prevent enterprises from reaching their true potential. This emphasizes digital but not transformation -- the more difficult (and more important) element to address.


Big Data Exchange enters Indonesian data centre market with joint venture deal

ZDNet

Eileen Yu began covering the IT industry when Asynchronous Transfer Mode was still hip and e-commerce was the new buzzword. Currently an independent business technology journalist and content specialist based in Singapore, she has over 20 years of industry experience with various publications including ZDNet, IDG, and Singapore Press Holdings. Big Data Exchange (BDx) has marked its entry into Indonesia's data centre market through a joint venture agreement with PT Indosat and the latter's two subsidiaries. The move aims to tap increasing demand for cloud services and connectivity. Estimated to be worth $300 million, the deal would see BDx enter a conditional sale and purchase agreement of shares (CSPA) and establish a joint venture with PT Indosat, PT Aplikanusa Lintasarta, and PT Starone Mitra Telekomunikasi (SMT). Under the agreement, BDx, Indosat, and Lintasarta would set up data centre and cloud operations in the Asian market, BDx said in a statement Thursday.