The most critical aspect of data transformation is data analysis. The availability of large datasets from various sources can be used to generate the importance of Artificial Intelligence. The majority of businesses are required to implement Artificial Intelligence platforms. Platforms for business intelligence aid in data analysis and management and provide creative dashboards for data visualization to compare KPIs efficiently. These AI-based technologies are highly beneficial for the implementation of Business Intelligence.

Real-time data always is the driving force of any company in this era of digital transformation. The immense supply of large datasets from multiple sources is helping to generate meaningful and in-depth insights with the integration of artificial intelligence. Thus, organizations need to implement AI-powered BI platforms to leverage smart functionalities of business intelligence tools. Platforms for business intelligence help in data analysis, data management, and provide creative dashboards for data visualization to compare KPIs efficiently. The global business intelligence market is expected to hit US$40.50 billion in 2026 with a CAGR of 12%. Let's explore some of the top ten business intelligence platforms for organizations can leverage in 2022.

CentralReach is a leading provider of end-to-end EMR, practice management and clinical solutions that enable applied behavior analysis (ABA) clinicians and educators to produce superior outcomes for people with autism. The company is revolutionizing the ABA space with cutting-edge solutions including precision teaching, clinical data collection, scheduling, billing, learning management, fully digital evidence-based programming and more. Trusted by more than 100,000 clinicians and educators, CentralReach is committed to ongoing product improvement, market-leading industry expertise, world-class client satisfaction, and support of the ABA community to propel industry practitioners into a new era of excellence. This position will report to the Director, Onboarding and be a part of the professional services division. The Data Analyst will work with the CentralReach onboarding, customer success and customer themselves to develop custom reports and dashboards using our integrated business intelligence tools.

On a global scale, people are estimated to generate 463 exabytes (one exabyte one billion gigabytes) of data each day by 2025. To put that in context, at the start of 2020, approximately 44 zettabytes of data (one zettabyte one trillion gigabytes) existed overall. If companies tried to shift through this data on their own, it would be an unmanageable task. But artificial intelligence (AI) makes it possible because AI models can work much faster than humans, and they don't require breaks. While humans can do most of what AI can in business intelligence, the main benefits of using AI are speed, consistency, and accuracy.

Sharecare is a digital health company that offers an artificial intelligence-powered mobile app for consumers. But it has a strong viewpoint on AI and how it is used. Sharecare believes that while other companies use augmented analytics and AI to understand data with business intelligence tools, they are missing out on the benefits of data fluency and federated AI. By using federated AI and data fluency, Sharecare says it digs deeper to find hidden similarities in the data that business intelligence tools would not be able to detect in health settings. To gain a deeper understanding of data fluency and federated AI,Healthcare IT News sat down with Akshay Sharma, executive vice president of artificial intelligence at Sharecare, for an in-depth interview. Q: What exactly is federated AI, and how is it different from any other form of AI? A: Federated AI, or federated learning, guarantees that the user's data stays on the device.

Sharecare is a digital health company that offers an artificial intelligence-powered mobile app for consumers. But it has a strong viewpoint on AI and how it is used. Sharecare believes that while other companies use augmented analytics and AI to understand data with business intelligence tools, they are missing out on the benefits of data fluency and federated AI. By using federated AI and data fluency, Sharecare says it digs deeper to find hidden similarities in the data that business intelligence tools would not be able to detect in health settings. To gain a deeper understanding of data fluency and federated AI, Healthcare IT News sat down with Akshay Sharma, executive vice president of artificial intelligence at Sharecare, for an in-depth interview. Q: What exactly is federated AI, and how is it different from any other form of AI? A: Federated AI, or federated learning, guarantees that the user's data stays on the device.

More and more often, businesses are using data to drive their decisions -- which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. New data-collection technologies, like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Matt Turck, an AI and data investor, calls it "the'datafication' of everything" -- as more of the world comes online, it becomes possible to analyze, catalog and turn information into a format analysts, and AI, can break down.

More than three decades in, BI technology is still in a relatively nascent phase considering where it's poised to go. To understand the BI's long-term potential, it helps to understand what the best of business intelligence tools can already accomplish. Let's discuss four qualities of highly effective solutions and platforms. Artificial intelligence is no longer something we talk about as future development. AI and machine learning (ML) are being applied in everything from autonomous cars and robot-operated warehouses to data analytics and fintech.

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ... Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... Want to Become a Data Scientist?

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ... Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... How to learn machine learning?