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QuickSight Q, Amazon's simple BI tool, moves into GA

ZDNet

Amazon Web Services this week announced the general availability of QuickSight Q, a business intelligence tool that lets users visualize their data by typing in questions in natural language. A salesperson could, for instance, ask, "How are my sales tracking against quota?" to see a chart with relevant data. QuickSight Q was unveiled during last year's re:Invent conference, stepping up Amazon's challenge to traditional BI tools. QuickSight Q uses machine learning to to automatically understand a question and its relationship to business data, providing answers and relevant visualizations in seconds. It also provides auto-complete suggestions for key phrases and business terms.


Data Scientists vs Machine Learning Scientists: Career Differences

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Whether you're just starting out in the workforce, have lately been laid off, is concerned about retaining your present job, or have been momentarily furloughed and have some spare time, there's no better opportunity than now to learn some AI-related skills. Machine learning and AI employment have risen 74% over the last four years, according to LinkedIn. Data scientists and machine learning scientists are among the job titles in this area, but you're not alone in being puzzled about the distinctions between the two. The in-depth examination of enormous amounts of data housed in a company's or organization's archive is what data science is all about. This study includes understanding where the data originates from, assessing its quality, and identifying if the data will be used to assist future corporate development.


Data Scientist - Logistics

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Climb on board and fasten your helmet if you're ready to be our Data Scientist. In this role, you will get to mine insights from the sea of data, build data products, and design experiments with the ability to see the real-time impact of your contribution. You will be analyzing data, developing and deploying Data Science solutions to improve GoLogistics products. You will not be alone in this journey though! We have Product Managers, Engineers, Data Scientists, Business Intelligence, Design, and Business folks that are eager to work with you.


Data Scientist - GoFood

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About the Role They say no man is an island - a notion that holds particularly true for this role. As a Data Scientist, you'll be an instrumental cog in the Marketplace wheel of Gojek that directly impacts GoFood's revenue and user experience. Your main objective will be to utilize various quantitative techniques, such as Machine Learning, Optimization, Simulation, and Bayesian Techniques, to drive asymmetric values for our business at Gojek. The folks over at the Data Science Platform team will be your companions during this ride, as they help to bring your models to production. Best yet, you'll have the opportunity to flex and hone in on your skills in ideation, research, and building prototypes!


Applied Researcher - Machine Learning

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PointClickCare is the leading North American cloud-based healthcare software for the acute and long-term and post-acute care markets. For over 20 years, the company has held the same vision – to help the world care for vulnerable populations. Since its inception, PointClickCare has grown exponentially with over 1,700 employees today all working towards impacting the lives of millions. Recognized by Forbes as one of the Top 100 Private Cloud Companies and acknowledged by Waterstone Human Capital as Canada's Most Admired Corporate Culture, PointClickCare leads the way in creating cloud-based software. Their shared mission to support vulnerable populations is allowing PointClickCare and Collective Medical to connect disparate points of care at scale faster than anyone else in the market.


Without Prejudice

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This is a three-part article series discussing the impact of the Personal Information Act (4 of 2013) on artificial intelligence or machine learning systems used in the context of the workplace. Although it is dependent on the type of workplace or employer regarding the degree to which the processing of personal information by artificial intelligence systems is relevant, and may appear prescient, it is reasonable to conclude that this will grow in the not too distant future as more technologies make up the workplace. From a general perspective, this article looks at what is viewed as the relevant provisions or themes of POPI and its possible relation to artificial intelligence or machine learning systems. However, the provisions of POPI discussed are not exhaustive and other areas (not covered) may also be relevant considering the specific context in each given case. In Part 1 of the series, I discuss the background to the series; the Protection of Personal Information Act (4 of 2013), providing an overview of the Act for purposes of the series, and personal versus de-identified information: the likely relationship between POPI and AI systems.


Online school: Dive into Coding Dojo's most popular courses

ZDNet

Coding Dojo is a bootcamp provider that prepares students for careers in software development, cybersecurity, and data science. Coding Dojo bases its success on three pillars: Student potential, the Coding Dojo curriculum, and lifetime support. For the first pillar, student potential, Coding Dojo looks for traits like curiosity, resilience, and dedication. The company claims these traits are more important than coding experience. For this reason, Coding Dojo's bootcamps are open to applicants without any prior experience.


How Do We Use Artificial Intelligence Ethically?

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I'm hugely passionate about artificial intelligence (AI), and I'm proud to say that I help companies use AI to do amazing things in the world. But we must make sure we use AI responsibly, so we can make the world a better place. In this post, I'm going to give you some tips for making sure you apply AI ethically within your organization. Communicate clearly with people (externally and internally) about what AI can do and its challenges. It is possible to use AI for the wrong reasons, so organizations need to figure out the right purposes for using AI and how to stay within predefined ethical boundaries.


Top Edge Computing Companies for 2021

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Edge computing companies offer a more efficient way to process and transmit data, solving two problems: the need for more IT infrastructure, and the massive amounts of unused data generated by edge points. With the rise of 5G networks, some believe edge computing is the next evolution in this space. If you're trying to find the best edge computing company for your business, this article will help you narrow your search. With edge computing, companies gain near real-time insights with less latency and lower cloud server bandwidth usage. With edge computing, companies gain near real-time insights with less latency and lower bandwidth usage.


Pinaki Laskar on LinkedIn: #AI #DeepLearning #NeuralNetworks

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AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner It is not software or data, but the Trans-AI will eat the world. While the Real-World #AI implies the Transdisciplinary Science, Engineering and Technology. We have innovated a Trans-AI model integrating narrow and weak AI models with statistic ML/DL algorithms. The Trans-AI General Purpose Technology is to enable a new, smart and sustainable Trans-AI World marked by a cybernetic synergy between humans and genuinely intelligent computers and AI systems. We create a huge universe of data, a data hyperreality, which denizens are: Statistics, facts, recordings, Observations, Web data, Bigdata, Data sets, Data points, Time series, Structured or unstructured data, Images, Graphs, charts, plots, charts, Statistic graphics, Tables, database Data items, Game positions, Computer programs, Mathematical functions, Text, data documents, Coded data, software, information, and knowledge.