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Four fresh ideas for Business Intelligence and Analytics



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We live in the future and are surrounded every day by new technologies. These technologies include data science and cloud analytics, business intelligence (BI) as well data science. Here are four innovations that are changing how companies use these technologies. Let's take a look at all the analytics options available today. What does each one mean for your company? And how do you select the best one for your needs?

Analytics

Gartner's Magic Quarrant for Business Intelligence highlights key vendors. TIBCO is one example of the top vendors in this field. It has a strong presence within the high-tech manufacturing sector and the life sciences sector. TIBCO is a leader in the data market and has less momentum beyond its existing base. For this reason, it receives high marks in both Gartner's Magic Quadrants for BI.

BI

Gartner Business Intelligence's annual report this year highlights the best vendors in the industry. BI is used to monitor and manage flight capacity, hotel occupancy rates, set prices and schedule workers. BI can be used to diagnose and manage illnesses. Universities and schools use it to monitor student performance, identify students who may need extra support, and to help them plan their staff. However, BI can be used for many other purposes than you might realize.

Data science

A data scientist can help an organization understand the value of its information assets. This job requires a variety of skills and may be best served by working together. Although data scientists often work with business executives, the job requires strong analytical and decision-making skills. Data management skills are required to create the appropriate dataset.


Cloud data analytics

Gartner's cloud data analytics report for business intelligence highlights the importance and synergy of advanced analytics, data science, and data science in businesses. This report also examines how cloud-based data analytics can increase an organization’s ability to use analysis across the entire organization. This report provides key insights into how to maximize cloud's benefits, minimize costs, and ensure that your business is fully optimizing its data quality.

Visual analytics

Visual analytics is a popular tool for businesses to boost their ROI and make more data-driven decision. Visual analytics can help business leaders spot trends and patterns in data, allowing them to create actionable insights. Modern interactive visual analytics enable users to combine data and analyze it within the visualization. Advanced technologies such AI and machine learning algorithms are able to recommend actions and make recommendations. Visual analytics can make a big impact on an organization if it is done correctly.

Self-service

Self-service BI can help your business users gain the insight they need to move the business forward. Self-service BI should be able to share data and tools for call-to–actions and text analytics with external parties, such as clients and business partners. Self-service BI tools should not only speed up the process but also help you meet your data governance needs.

Data warehouses

Data warehouse can be used to refer to a storage infrastructure that can hold data from external sources such as operational data stores and transaction systems. This data is then compiled into aggregate form suitable for enterprise-wide data analysis and reporting for predefined business needs. Gartner analysts call data warehouses "big data" or even "analytics portals". Although these structures serve different purposes they have many similarities.

Data lakes

Gartner's Data Lakes for Business Intelligence Report will show you the latest trends in storing and processing organisational data. These data lakes often have no governance or structure and can contain unstructured elements, such as video and documents. Data lakes are used for reporting and analytics. Next, transform the data into the format the company needs.


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FAQ

Which countries are leading the AI market today and why?

China is the leader in global Artificial Intelligence with more than $2Billion in revenue in 2018. China's AI market is led by Baidu. Tencent Holdings Ltd. Tencent Holdings Ltd. Huawei Technologies Co. Ltd. Xiaomi Technology Inc.

China's government is heavily involved in the development and deployment of AI. The Chinese government has established several research centres to enhance AI capabilities. These include the National Laboratory of Pattern Recognition, the State Key Lab of Virtual Reality Technology and Systems, and the State Key Laboratory of Software Development Environment.

China is also home of some of China's largest companies, such as Baidu (Alibaba, Tencent), and Xiaomi. All these companies are actively working on developing their own AI solutions.

India is another country making progress in the field of AI and related technologies. India's government is currently focusing its efforts on developing a robust AI ecosystem.


Is AI good or bad?

AI can be viewed both positively and negatively. It allows us to accomplish things more quickly than ever before, which is a positive aspect. There is no need to spend hours creating programs to do things like spreadsheets and word processing. Instead, our computers can do these tasks for us.

On the other side, many fear that AI could eventually replace humans. Many believe that robots will eventually become smarter than their creators. This could lead to robots taking over jobs.


How does AI work?

To understand how AI works, you need to know some basic computing principles.

Computers store information on memory. Computers process data based on code-written programs. The computer's next step is determined by the code.

An algorithm is an instruction set that tells the computer what to do in order to complete a task. These algorithms are typically written in code.

An algorithm can be thought of as a recipe. An algorithm can contain steps and ingredients. Each step can be considered a separate instruction. A step might be "add water to a pot" or "heat the pan until boiling."


Are there any potential risks with AI?

You can be sure. There will always be. AI could pose a serious threat to society in general, according experts. Others argue that AI has many benefits and is essential to improving quality of human life.

AI's greatest threat is its potential for misuse. AI could become dangerous if it becomes too powerful. This includes autonomous weapons and robot rulers.

AI could take over jobs. Many people fear that robots will take over the workforce. Others think artificial intelligence could let workers concentrate on other aspects.

Some economists even predict that automation will lead to higher productivity and lower unemployment.


Is there any other technology that can compete with AI?

Yes, but this is still not the case. There have been many technologies developed to solve specific problems. However, none of them match AI's speed and accuracy.


What can AI be used for today?

Artificial intelligence (AI), a general term, refers to machine learning, natural languages processing, robots, neural networks and expert systems. It is also known as smart devices.

The first computer programs were written by Alan Turing in 1950. He was curious about whether computers could think. He proposed an artificial intelligence test in his paper, "Computing Machinery and Intelligence." The test seeks to determine if a computer programme can communicate with a human.

John McCarthy in 1956 introduced artificial intelligence. He coined "artificial Intelligence", the term he used to describe it.

Today we have many different types of AI-based technologies. Some are very simple and easy to use. Others are more complex. They can be voice recognition software or self-driving car.

There are two main categories of AI: rule-based and statistical. Rule-based uses logic to make decisions. To calculate a bank account balance, one could use rules such that if there are $10 or more, withdraw $5, and if not, deposit $1. Statistics are used to make decisions. A weather forecast may look at historical data in order predict the future.


AI: Why do we use it?

Artificial intelligence is a branch of computer science that simulates intelligent behavior for practical applications, such as robotics and natural language processing.

AI is also referred to as machine learning, which is the study of how machines learn without explicitly programmed rules.

AI is widely used for two reasons:

  1. To make life easier.
  2. To be able to do things better than ourselves.

Self-driving vehicles are a great example. AI can do the driving for you. We no longer need to hire someone to drive us around.



Statistics

  • According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
  • More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
  • By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
  • The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
  • In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)



External Links

gartner.com


medium.com


forbes.com


mckinsey.com




How To

How to set up Cortana Daily Briefing

Cortana is a digital assistant available in Windows 10. It helps users quickly find information, get answers and complete tasks across all their devices.

Setting up a daily briefing will help make your life easier by giving you useful information at any time. You can expect news, weather, stock prices, stock quotes, traffic reports, reminders, among other information. You can decide what information you would like to receive and how often.

To access Cortana, press Win + I and select "Cortana." Select Daily briefings under "Settings", then scroll down until it appears as an option to enable/disable the daily briefing feature.

If you have enabled the daily summary feature, here are some tips to personalize it.

1. Open Cortana.

2. Scroll down to "My Day" section.

3. Click the arrow to the right of "Customize My Day".

4. Choose which type you would prefer to receive each and every day.

5. Modify the frequency at which updates are made.

6. You can add or remove items from your list.

7. Save the changes.

8. Close the app




 



Four fresh ideas for Business Intelligence and Analytics