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  • Artificial Intelligence
  • 7 Ways AI Could Save the Government Money and Boost Productivity

    Artificial intelligence offers feds the "tantalizing possibility" of increased speed, enhanced quality and lower costs, a Deloitte report says.

    Source: FedTech
    15465
  • Datameer makes deep learning more accessible

    With SmartAI, Datameer is addressing the last mile in putting machine learning to work in business intelligence.

    Source: ZDnet
    12123
  • Microsoft, Machine Learning, And "Data Wrangling": ML Leverages Business Intelligence For B2B

    "Data wrangling" was an interesting phrase to hear in the machine learning (ML) presentations at Microsoft Ignite. Interesting because data wrangling is from business intelligence (BI), not from artificial intelligence (AI). Microsoft understands ML incorporates concepts from both disciplines.

    Source: Forbes
    11037
  • 10 Machine Learning Startups to Watch

    These startups are applying artificial intelligence techniques to business intelligence, big data, cybersecurity, APM, autonomous vehicles, healthcare and more.

    Source: Datamation
    16569
  • How ML and AI will transform business intelligence and analytics

    Machine learning and artificial intelligence advances in five areas will ease data prep, discovery, analysis, prediction, and data-driven decision making.

    Source: ZDnet
    12156
  • Big Data Combined With Machine Learning Helps Businesses Make Much Smarter Decisions

    Today, the importance of machine learning and big data to businesses cannot be overemphasized; both are revolutionizing business operations and consistently providing lots of new opportunities.

    Source: Entrepreneur
    10119
  • A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018

    In this article, we will compare the most commonly used platforms and analyze their main features to help you choose one or several platforms that will provide indispensable aid for your work communication.

    Source: Kdnuuget
    26565
  • Data Science for Startups: Business Intelligence

    Part four of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the introduction.

    Source: HOB
    12849
  • India's Analytics, BI software market to reach $304 million in 2018: Gartner

    The revenue of India's analytics and business intelligence (BI) software market will reach $304 million in 2018, an 18.1 per cent increase over the past year, according to a Gartner forecast on Tuesday.

    Source: HOB
    24537
  • Explore More About Data Science And Its Significant Importance

    Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science is helpful for the employees to get understand about data and then make it in a proper way so that it can be communicated in a better way which is valuable for the companies.

    Source: HOB
    18225
  • How Internet of Things can Change our Lives

    The Internet of Things is creating a new world, a quantifiable and measureable world, where people and businesses can manage their assets in better informed ways, and can make more timely and better informed decisions about what they want or need to do. By sensing our surrounding environment, the IoT will create many practical improvements in our world, increasing our convenience, health and safety, while at the same time improving energy efficiency and comfort. The IoT will be a new source of wealth creation.

    Source: HOB
    8871
  • What Business Intelligence is actually? Need to Know

    Business intelligence comprises the strategies and technologies used by enterprises for the data analysis of business information. And it provides historical, current and predictive views of business operations.

    Source: HOB
    7635
  • How AI is helpful in Marketing Research

    AI has gained its popularity in many industries and in various fields as well. It is also going to impact market research and its audience. AI also helps marketers to gain insights about the data that has been already collected.

    Source: HOB
    8043
  • Popular RPA Tools in Market

    Robotics Process Automation is quite a buzzword in the industry right now. RPA includes artificial intelligence and machine learning capabilities to handle the repeatable task. In other words earlier which daily tasks are done by humans now these all are performed by RPA. RPA is basically a language that gains the broad use of software with the help of artificial intelligence and machine learning.

    Source: HOB
    14838
  • Must Aware with the Capability of AI

    Much of the AI capability working its way into BI tools today isn't entirely new consumer technologies have been successfully implementing them for years. In fact, this is one of the strengths of artificial intelligence when applied to business intelligence the fact that users already understand intuitively how to use products like Google and Amazon making it easier for them to adopt those same technologies and interaction paradigms in BI tools

    Source: HOB
    22839
  • A Comparative Data Analysis of Top 6 Business Intelligence and Data Visualization Tools in 2018

    Nowadays, there is a huge list of powerful data visualization tools to help you illustrate your ideas, visualize your data, make it talk, share your significant analytics with customers and the global community.

    Source: HOB
    25266
  • How To Become a Data Scientist, According To Grab's Data Science Head

    What do data science, data analytics, and business intelligence mean at Grab and how are they being used? - Wong Mun

    Source: HOB
    62460
  • Deployment of Smart AI-Applications In Business

    Artificial Intelligence allows many applications and services which we use on daily basis. As technological revolutions has become a norm in this era of innovation and Artificial Intelligence plays very crucial role in recent advancements. By using smart applications of artificial intelligence we can save real-time existing process and permitting data-driven decision making on a faster timeline. No one can deny its importance as big companies like Google, Facebook, Amazon and Microsoft are investing in AI technology.

    Source: HOB
    8925
  • Understanding The Facts About Business Intelligence

    All marketers are familiar with the value of monitoring and analyzing web data and analytics. Most of the organizations are using Google Analytics to know the facts and figures of the organization. All extracted data leads to the efficiency, revenue growth and success of a business.

    Source: HOB
    19881
  • Top 15 Business Applications For Artificial Intelligence And Machine Learning - Everyone Should Know

    Understanding how artificial intelligence (AI) and machine learning (ML) can benefit your business may seem like a daunting task. But there is a myriad of applications for these technologies that you can implement to make your life easier.

    Source: HOB
    13542
  • These skills will get you big paychecks in IoT careers.

    Clearly, a job in Internet of Things can pay well because of the rising demand, but candidates will require a combination of skills to ensure a promising IoT career.

    Source: HOB
    8364
  • Top 8 Business Intelligence Books Will Make a Solid Foundation For Your Business Dashboard

    With big data being one of the business intelligence buzzwords of last few years, no wonder that publications on business analytics and dashboard design pile up in bookstores. You must be familiar with those trends and keep up with the developing technology, but who has time to read all those books?

    Source: HOB
    8442
  • Know Which Tools Help Data Scientists To Improve Their Productivity?

    With the manifold of data science tools in the market, it is certainly a rising challenge for you as a data scientist or a blooming data scientist to sort out the best ones.

    Source: HOB
    18138
  • Business Intelligence Tools Helps To Take Brilliant Business Decisions

    :Business Intelligence is providing the right data at the right time to right people so that they can take the right decisions." The term Business Intelligence (BI) revolves around the technology-driven process for analyzing data and delivering actionable information to take brilliant business decisions. Business intelligence tool encapsulates strategies and technologies used by enterprises for data analysis of business information.

    Source: HOB
    21687
  • 9 Best Ways To Get More Value From Business Intelligence In 2018-2019

    Improved customer relations, increased employee productivity, new revenue streams - big benefits await those who breathe new life into their business intelligence strategies.

    Source: HOB
    9636
  • The popular today and tomorrow of Business Intelligence

    It is constantly changing everything we see and function through its innovations affecting almost every corner of our lifestyles. Rich or poor, technology plays a vital role in many aspects. Now whether you are a budding startup or a well-established enterprise, data is something that has been and will always be an invaluable aspect of all companies across the globe.

    Source: HOB
    10035
  • How DevOps Play Crucial Role For Data Science?

    DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.

    Source: HOB
    23280
  • What is the assistance of business intelligence software?

    Business intelligence software is a tool which is formed to evaluate and present the typical data into comestible reports for understanding. Company is benefited to achieve the specific goals through identifying SWOT (strengths, weakness, opportunities, threats), measure KPIs, looks the relationships between datasets for informed-decisions and also create understanding for spontaneous decisions.

    Source: HOB
    6222
  • Business Intelligence: Where has it come from and where it is going?

    The society is continuously evolving and there are many enhanced information technologies which will lead to transformation having advanced tools for decision making. For companies, business intelligence system plays an integral part. It helped to resolve all the obstacles such as financial and economic crises and have many complexities which improve the process of decision making through this system. The modern techniques provided by IT companies enhance the power of decision making of all the managerial teams.

    Source: HOB
    7074
  • How can you maximize your business profits through business Intelligence?

    The main motive of every business is to earn a profit and correct decisions help you to attain effectively. Every leader of the business takes a number of decisions which have a great impact on the work in multiple ways. Therefore, to become a profitable organization the ultimate goal should be an effective decision. Business intelligence helps in the plans which are implemented successfully which is the foremost need of every business. New strategies and procedure of right planning are implemented by business intelligence. Data is being analyzed, stored and accessed by the technologies of business intelligence.

    Source: HOB
    7041
  • No failure: Common analytics project challenges learning

    There is no organization which starts data management having already planned that there is no success. Failure is when they do not meet the expectation and do not implement solutions or not giving their highest probability. Through failure, people lose confidence for the teams potential and business intelligence trust is lost for data and profit. The future use of business intelligence can be affected if the project's value is not maximized. Therefore, the successful project implementation value should be understood and how it is adopted, and staying away from the drawbacks can help you realize the value of data investment.

    Source: HOB
    6255
  • Software Engineers Dominate The List Of Most In-Demand Tech Jobs In Silicon Valley

    Software, product, and QA engineers are among the 20 fastest-growing roles in the Bay Area, according to Indeed.

    Source: HOB
    9498
  • What Strikes On Your Mind While Talking About Top Merchants For Data Science And Machine Learning?

    The analytics and business intelligence marketplace are crowded as ever. The scope of what constitutes analytics package could be a bit muzzy, and this makes choosing the simplest doable metal tool a frightening task. Modern tools cover way more than heritage reportage, with capabilities starting from information integration and information preparation to information quality, governance, and even machine learning.

    Source: HOB
    8352
  • Big data: How small businesses can use it

    It is noted that business intelligence and big data can only be used for enterprise companies. But now even small businesses can easily afford to track into the information wealth. It is not easy for small businesses to become data-driven as they also deal with the records which are complex and it is really difficult to process and interpret into insights which your business can actually use.

    Source: HOB
    9069
  • What Reasons Made Businesses to Leverage Business Intelligence Tools?

    According to estimates, 80% of world data is unstructured. This data resides in social media feeds, digital photos, emails, and audio files, to call some. Unstructured data are often onerous to research, which suggests businesses will fail to utilize the treasure hoarded wealth of data they need access to. That is wherever fashionable business intelligence tools are available in.

    Source: HOB
    9081
  • Business intelligence challenges faced by entrepreneurs

    Business intelligence can be afforded by anyone not only by the big organizations. Many companies deal with the information which is of a larger amount so there is always a need for business intelligence driven insights, nowadays data decisions are not only made by many companies but also SMEs and entrepreneurs.

    Source: HOB
    9579
  • Most Demanded IT jobs in 2019

    Due to the digital transformation, there are many IT jobs what will be more in demand and will be oriented towards high technology like AR, IoT, and artificial intelligence. For all these positions the demand for the workers who are qualified has increased which also includes the front-end developer and back-end developer, and many more positions which are not known. Here are some of the jobs which will be more in demand in the year 2109-2020.

    Source: HOB
    10521
  • Differentiating Between Continous Intelligence And Business Intelligence

    Continuous intelligence from all your data is not another phrase to describe real-time, speed or throughput. It's about frictionless cycle time to derive continuous business value from all data. It's a modern machine-driven approach to analytics that allows you to quickly get to all of your data and accelerate the analysis you need, no matter how off the beaten track it is, no matter how many data sources there are or how vast the volumes. It's about not doing this once but letting the machine automate it so it's continuous and frictionless.

    Source: HOB
    15126
  • Healthcare Business Intelligence Market 2019 Industry Share, New Technologies, Medical Reviews, Segments and Forecast to 2025

    Healthcare Business Intelligence Market 2019 world Industry report offers a valuable tool to assess the most recent market statistics, Industry growth, size, share, trends, additionally as driving factors. The Healthcare Business Intelligence Market report more covers the intensive analysis of the approaching progress of the Healthcare Business Intelligence Market.

    Source: Orian Research Consultant
    4254
  • Big Data Bangs With Big Insights

    It is very hard to predict about the future, everything is all left in insights of what will happen around the analytics of data in the upcoming years.

    Source: HOB
    6963
  • Must Look at the Race Between Artificial Intelligence, Data, and Business Intelligence

    Everyone knows that the world has changed a lot in recent years. Now, with less than 10 months until 2020, the Cloud is the reality, AI is everywhere, and Voice will undoubtedly be the next interface for analytics.

    Source: HOB
    6555
  • Data Scientist The Best Profession In the 21st Century As Declared by Reputed Organisations

    One of the fastest growing careers among them is Data Science, which has become extremely popular among youth because of its exciting nature of work and new newness. Professionals who do this job are known as Data Scientists.

    Source: HOB
    12936
  • How Youths Future Is Getting Reshaped Through Big Data Analytics

    There are several trends in the field where there is a need to be familiar with big data. Big data is the data which consists of volumes greater than 1 petabyte, or 1 million gigabytes.

    Source: HOB
    5937
  • Top 5 Reason To Switch From Tableau Data Analysis To Google DataStudio

    When I started working at my latest company all the reporting was done with a combination of Google Sheets and Tableau, with Tableau being the principle reporting mechanism.

    Source: HOB
    10014
  • Why your organization needs Business Intelligence technology?

    A Business Intelligence technology is used by the organizations to analyze business information which includes past and present data and drawing insights from that data.

    Source: HOB
    28203
  • Which one is best, SAS or R?

    The Graphics supported by R and its statistical features are considered better than SAS.

    Source: HOB
    8955
  • Big Data Analytics Have Top Job Demand For Youths

    Big Data is a popular term you must familiar with it. Big Data is exactly what the name implies as data which consists of volumes greater than 1 petabyte, or 1 million gigabytes. This data is stored in servers and gives different results by using different analysis techniques based on the needs of the users.

    Source: HOB
    19155
  • Data Scientist should be aware of the difference between the subheads of Data Science and Machine Learning

    See the major difference between the sub-categories of data science, machine learning, and big data.

    Source: HOB
    6246
  • How a Business Analyst Differ from a Data Scientist

    A Business Analyst is often confused with a Data Scientist. So I have written this article to clear out the differences between the two with the help of clear bullet points.

    Source: HOB
    6564
  • Sisense becomes a partner with Periscope Data and turns out as data-driven Companies

    Sisense has acquired Periscope Data for creating a complete data science and analytics platform for customers.

    Source: HOB
    8709
  • What is Business intelligence? Why do we need Business intelligence? What are Some Business intelligence Tools

    Business intelligence includes the strategies or the technologies that any business uses to find relevant insights out of the business data. With the help of Business intelligence businesses takes those important decisions that are required by it to grow.

    Source: HOB
    19998
  • See some Best-Known Big Data tools, their Advantages and Disadvantages to Analyze your Data

    So here are some Big Data Analytics tools which we will explore in detail in this article.

    Source: HOB
    32685
  • An overview of Business Analytics with some highly Recommended Books

    Business Analytics helps businesses to understand what has happened in the past along with the predictions of what will happen in the future. Business analytics makes these predictions with the help of historical and present data of Business.

    Source: HOB
    10239
  • Know Why Predictive Analytics is the need for Businesses today with some top Predictive Analytics Tools

    To make any business successful and work for a longer time, a Proactive and forward-looking approach is needed and this is the only approach by which businesses plan strategies for the future. Using Predictive Analytics businesses make use of their past and present data to predict future certainties.

    Source: HOB
    5424
  • 5 Data Science Blogs that Every Beginner and Professional should follow in Data Science

    Whether you are a Professional or a beginner, staying updated on the latest trends in your field is the one thing that you should daily. In this article, we have listed the top 5 Data Science Blogs that every beginner and Professional must follow.

    Source: HOB
    9108
  • Why Business Intelligence is a Must for your Marketing Campaign?

    Marketing is one of the most essential components of Business Development. Effective marketing is needed to take your business to the next level and gain a huge Return on Investments (ROIs).

    Source: HOB
    12720
  • Have a clear concept of Data Science with these Books

    Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.

    Source: HOB
    8259
  • Do you think that Tableau is the best Business Intelligence Software?

    Data is growing faster than ever. With the proliferation of the internet, we now generate even more information.

    Source: HOB
    5451
  • Some Data Analytics programs which are affordable for every company

    To ensure effective implementation, one of the first things to prioritize is choosing the right data analytics software. A good place to start is getting to know the leading products in the niche by checking out the best data analytics software.

    Source: HOB
    8163
  • Climbing a ladder with the basics of Tableau

    This Tableau training for beginners video will help you understand what is business intelligence why we need business intelligence, what are the various business intelligence tools.

    Source: HOB
    9447
  • Famous Business Intelligence Tools for great Business Insights

    So here in this video, we are going to talk about the top 5 business intelligence tools that stand out from the crowd and are the choice of millions of organizations who are looking for great business insights.

    Source: HOB
    6198
  • How Data Scientists can easily develop themselves?

    A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data.

    Source: HOB
    21171
  • Go for Data Science career. It has multiple opportunities

    Gain new insights into your data. Learn to apply data science methods and techniques, and acquire analytical skills.

    Source: HOB
    6075
  • Master learning in some of the free online courses of Business Intelligence

    Take free online business intelligence courses to build your skills and advance your career. Learn business intelligence and other in-demand subjects with courses from top universities and institutions around the world.

    Source: HOB
    5754
  • Technologies and Applications of Artificial Intelligence

    AI or artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.

    Source: HOB
    12339
  • Make good research in Data Visualization to make a marvelous Career

    Data visualization is the graphic representation of data analysis to achieve clear and effective communication of results and insights.

    Source: HOB
    6678
  • Data Science: The Climax of your future Career

    The wide application of Information Technology and Computer Science has given rise to so many new fields in the corporate sector which have enormous potentials and possibilities.

    Source: HOB
    6825
  • How Data Scientists are more successful in their jobs?

    Data scientists are crucial for interpreting data and solving complicated issues in business. Here's how they can use their skills most effectively.

    Source: HOB
    4860
  • Can Big Data Analytics transmute youth's future?

    Big data analytics is all about how you store the huge amount of data and how you process it to get meaning out of it to draw conclusions and make the correct business decisions.

    Source: HOB
    5358
  • Smooth path of becoming a Business Intelligence Analyst in 2K19

    BI analysts are fierce business performance ninjas who possess a blend of business vision, consultant abilities and profound understanding of data.

    Source: HOB
    7986
  • Online courses of Artificial Intelligence for Professionals and Beginners

    Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing.

    Source: HOB
    6501
  • Some expected Big Data trends for the year 2019

    The overall importance of data and information within organizations has continued to grow. We've also seen the continued rise of megatrends like IoT, big data - even too much data - and of course, machine learning.

    Source: HOB
    7416
  • Some ways how Big Data can improve customer retention

    Big Data not only helps you bring in new customers, but it also allows for the collection of customer intelligence, which can be utilized to improve customer retention. Let's look at five ways that using Big Data can help improve customer retention.

    Source: HOB
    5637
  • Analytics and Business Intelligence are becoming innovative through some trends for Business Leaders

    The emergence of relationship analytics highlights the growing use of a graph, location, and social analytical techniques.

    Source: HOB
    7410
  • Data Science is the most paid job until 2019. What about the future?

    Data science features significantly when you talk about high paying future jobs.

    Source: HOB
    8322
  • How Zoomcar gained popularity through Data Science?

    The rapid expansion of Zoomcar's fleet size and the high volume of data generated from its customers forced the company to invest in data-driven technologies.

    Source: HOB
    8889
  • Do we know some hidden facts of Unstructured Data?

    Data is a gold mine of insights. It is important to have an integrated information architecture that facilitates better insights on multi-dimensional information to cater to business decision making and important events.

    Source: HOB
    4947
  • Data Science courses which can be done simultaneously with some other courses

    The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.

    Source: HOB
    5826
  • Get to know some Big Data tools and Technologies

    Edureka's Big Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge of Big Data and Hadoop Ecosystem tools.

    Source: HOB
    5592
  • How can Big Data improve Healthcare Industry?

    Big data in the healthcare industry is about to get even bigger thanks to the move toward electronic health records.

    Source: HOB
    6237
  • Big Data: Five Ways It Can Help Increase Customer Retention

    Big Data not only helps you bring in new customers, but it also allows for the collection of customer intelligence, which can be utilized to improve customer retention.

    Source: HOB
    3807
  • Some skills to have vast career options in Data Science

    Today data science is being used by industries, so prolifically that the demand of data scientists has risen too.

    Source: HOB
    3897
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