Tellius

In computer science, What Is Artificial Intelligence ? Refers to any type of intelligence demonstrated by machines. These machines are often capable of learning, problem solving, reasoning, and representation. Everything from interpreting human speech to self-driving cars, playing video games, and of course analytics, can benefit from artificial intelligence. Artificial neural networks, search optimization, and statistical methods are a few ways that AI can solve issues. AI analytics automates the time-consuming labor typically done by a data analyst by using machine learning algorithms to continuously monitor and analyze massive amounts of data. If you've been keeping up with AI technology over the past few years, you already know that it's affecting almost every business. Analytics in business is no different. The discipline of analytics was once dominated by centuries-old statistical modelling techniques, but AI and machine learning are now revolutionizing it by providing a

BI is targeted at data consumers, such as business users, and it is suitable for descriptive analytics to uncover which KPI or metric has changed. Business Intelligence lacks intelligent automation such as NLQ, automated visualizations, Automated Insights, Automated Prep, AutoML, and Proactive Intelligence which are offered by Decision Intelligence.      It has often been necessary for businesses to balance the tradeoff between sacrificing the quality of their insights by limiting the analysis to a small set of variables. In addition, they have invested a significant amount of time in data preparation, analysis, and model building to get the detailed, granular data they need. The reality, however, is that no firm can afford to make this compromise in practice. It is imperative to have a short time-to-insight if you want to benefit fully from fresh insights. It is essential to use all the information at your disposal in order to make the most informed decision. Wouldn't it be hel

  Data is the foundation of all wise decisions. With the use of Augmented Analytics Software , we may more easily proceed toward our desired goals and benchmarks because it emphasizes issues, identifies new opportunities, and assists us in diagnosing performance changes. Extraction of useful insights using conventional business intelligence platforms (BI) and self-serve BI has become more challenging as data complexity has increased. Businesses have frequently been forced to make the trade-off between sacrificing the quality of their insights by restricting the analysis to a small set of variables and investing a significant amount of time in data preparation, analysis, and model building in order to obtain the in-depth, granular information required. However, in practice, no firm can afford to make this compromise. If you want to fully benefit from fresh prospects, the time-to-insight must be short. And in order to make the greatest choice, you must use all the information at your

  Companies in the Pharma Analytics Trends and biotechnology industries have seen an unstoppable increase in the amount of data coming from both internal and external sources. In order to help analysts and business teams make better data-driven decisions in areas like market access, payer analytics, and commercial effectiveness, Tellius offers tried-and-true analytical frameworks to streamline the analysis of market share and formulary data from providers like IQVIA and Symphony and accelerate the generation of insights guided by ML/AI. The marketing channel mix can be improved by using automated machine learning to analyze commercial and market data. Gather and examine prescription data from industry sources to give the commercial team a thorough understanding of healthcare providers' prescribing patterns. Build propensity models of anticipated prescription behaviors through collaboration on advanced analytics to influence future results. By overlaying HCPs against sales cove

Every business user now has access to cutting-edge AI-powered analytics, making data-driven decision making a reality for enterprises of all sizes. Business users, analysts, and data specialists can all benefit from Decision Intelligence , which according to Gartner will be used by 33% of major firms by 2023. Decision intelligence is the use of automation and machine learning to support human judgement in order to make business judgments that are more accurate and swift. Businesses now have access to enormous volumes of data and must use it to make ever-more-complex business decisions, but they lack the insights needed to link the data to the choices. Because of the way that today's tools, processes, and teams are divided into descriptive, diagnostic, and predictive analytics silos, with time-consuming handoffs and insights gaps, analytical output (such as analysis, insights, and data stories) doesn't scale with data quantities. By removing these fictitious obstacles in tools,