Tue. Oct 26th, 2021

Intelligence

The MarketWatch News Department was not involved in the creation of this content.

Dec 02, 2020 (Market Insight Reports) —
The Global Healthcare Business Intelligence Market is estimated to value over USD 12.1 billion by 2027 end at a CAGR of over 14.9% during the forecast period 2020 to 2027.

The research report on Healthcare Business Intelligence provide insights on growth-influencing factors such as industry trends, understanding consumer demands, product application, competitive landscape, pricing analysis and brand positioning. The industry trends offer vital information to clients which help them in formulating a plan for the proliferation of their esteemed organization. Furthermore, the pricing analysis information provided in the research report is added taking in consideration the current product demand, technological advancements in the market and anticipated upgrades in the future. The report further provides insights on the competitive landscape, market segmentation and market overview. The competitive landscape data in the

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LONDON, Dec. 02, 2020 (GLOBE NEWSWIRE) — Informa Pharma Intelligence, the global business intelligence provider for the biopharma industry, and Quantitative Life Sciences (QLS) Advisors today announced a partnership to further enhance the predictive level insights currently available in Informa Pharma Intelligence’s Biomedtracker. This partnership will allow Biomedtracker to not only have an industry leading Likelihood of Approval (LOA) score to support risk management and investment decisions, but will also enhance the tool further with QLS’s machine learning driven forecasts of clinical outcomes. These program-level probability of approval (POA) scores will provide biopharma portfolio managers and licensing teams even more robust tools for managing the risk of their drug development pipelines.

The industry has often relied on historical success rates in making drug development decisions. This partnership will give Biomedtracker users access to forward-looking drug-specific machine-learning forecasts that can be explained through intuitive “key features” underlying each prediction. These features

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The MarketWatch News Department was not involved in the creation of this content.

Dec 02, 2020 (AmericaNewsHour) —
The research study on Global Artificial Intelligence in Healthcare market 2019 presents an extensive analysis of current Artificial Intelligence in Healthcare market size, drivers, trends, opportunities, challenges, as well as key Artificial Intelligence in Healthcare market segments. Further, it explains various definitions and classification of the Artificial Intelligence in Healthcare industry, applications, and chain structure.In continuation of this data, the Artificial Intelligence in Healthcare report covers various marketing strategies followed by key players and distributors. Also explains Artificial Intelligence in Healthcare marketing channels, potential buyers and development history. The intent of global Artificial Intelligence in Healthcare research report is to depict the information to the user regarding Artificial Intelligence in Healthcare market forecast and dynamics for the upcoming years.The Artificial Intelligence in Healthcare study lists the essential elements which influence the growth

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Stealing another company’s ideas is nothing new in the cut-throat corporate world.

Steve Jobs, the late CEO of Apple, once said: “We have always been shameless about stealing great ideas.” Facebook helped build out its global empire with a copycat strategy when it lacked its own imagination and invention, prompting The Wall Street Journal to write: Facebook employees’ new motto? “Don’t be too proud to copy.”

But innovative companies must stand up to this longstanding practice of “borrowing” their ideas; this should not be dismissed as simply the cost of doing business in the fast-paced world of technology. It may not be easy, but coming to the rescue to protect ideas is technology itself.

Companies need to understand the options available to protect them.

Copyright is certainly used but has a very narrow scope. Trademarks are valuable but also limited because they only protect the likes of a business name

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Global Business Intelligence Platforms Software Market Size, Status, and Forecast 2020-2026

Global Business Intelligence Platforms Software Market 2020 research document on the Business Intelligence Platforms Software Market provides a precise outline and the concepts of the dynamic in the international Business Intelligence Platforms Software Market. The entire research report offers value in terms of sectional review and evaluates on the Global Business Intelligence Platforms Software Market across regional levels as well as from a global viewpoint. The complete profile of the companies are mentioned, and the capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments that are also included within the report. In the end report delivers conclusion which includes Breakdown and Data Triangulation, Consumer Needs/Customer Preference Change, Research Findings, Market Size Estimation, Data Source. These factors will increase business overall.

Companies considered and profiled

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The MarketWatch News Department was not involved in the creation of this content.

Dec 01, 2020 (Heraldkeepers) —
A new business intelligence report released by HTF MI with title “Global Artificial Intelligence Chips Market Insights, Forecast to 2025” is designed covering micro level of analysis by manufacturers and key business segments. The Global Artificial Intelligence Chips Market survey analysis offers energetic visions to conclude and study market size, market hopes, and competitive surroundings. The research is derived through primary and secondary statistics sources and it comprises both qualitative and quantitative detailing. Some of the key players profiled in the study are AMD (Advanced Micro Device), Google, Intel, NVIDIA, Baidu, Graphcore & Qualcomm.

This report presents the worldwide Artificial Intelligence Chips market size (value, production and consumption), splits the breakdown (data status 2014-2019 and forecast to 2025), by manufacturers, region, type and application.
This study also analyzes the market status, market

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When Amazon Web Services launched QuickSight, its business intelligence service, back in 2016 the company wanted to provide product information and customer information for business users — not just developers.

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At the time, the natural language processing technologies available weren’t robust enough to give customers the tools to search databases effectively using queries in plain speech.

Now, as those technologies have matured, Amazon is coming back with a significant upgrade called QuickSight Q, which allows users to just ask a simple question and get the answers they need, according to Andy Jassy’s keynote at AWS re:Invent.

“We will provide natural language to provide what we think the key learning is,” said Jassy. “I don’t like that our users have to know which databases to access or where data is stored. I want them to be able to type into a search bar and get the answer to a

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Amazon today launched SageMaker Data Wrangler, a new AWS service designed to speed up data prep for machine learning and AI applications. Alongside it, the company took the wraps off of SageMaker Feature Store, a purpose-built product for naming, organizing, finding, and sharing features, or the individual independent variables that act as inputs in a machine learning system. Beyond this, Amazon unveiled SageMaker Pipelines, which CEO Andy Jassy described as a CI/CD service for AI. And the company detailed DevOps Guru, QuickSight, and QuickSight Q, offerings that uses machine learning to identify operational issues, provide business intelligence, and find answers to questions in knowledge stores.

During a keynote at Amazon’s re:Invent conference, Jassy said that Data Wrangler has over 300 built-in conversion transformation types. The service recommends transformations based on data in a target dataset and applies these transformations to features, providing a preview of the transformations in real time.

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