It’s said that the familiar adage, “The one constant is change” originated with the Greek philosopher Heraclitus. While this assertion may be centuries old, it could easily have been coined to describe the tech industry. And among the technologies that may soon be seeing revolutionary changes is the one familiar staple most of us use every day: the Web.

From Web3 and blockchain technology giving users more power, to new ways to explore and “experience” goods and services, to a growing governmental focus on protecting consumers’ data, the ways we browse, shop and interact on the Web may soon look very different. Below, 16 industry experts from Forbes Technology Council discuss the top trends they see coming to the Web within the next year or two and why they will be so impactful.

1. Highly Personalized Services Across Channels

Consumers increasingly expect services on the Web and mobile to be more than just a nice front for a traditional business. They expect a personalized, connected world, where all channels provide service in a real-time, intelligent, personalized manner. This hugely impacts operations, as complex businesses must break from the status quo and evolve to have a fully operationalized, end-to-end technology stack that meets consumer demand. - Udi Ziv, Earnix

2. The Metaverse

Within the next year, I see the metaverse being beautifully woven into the core fabrics of the Web. Both businesses and community-focused platforms, such as social media, will look to explore improving the user experience by creating more immersive, experiential ways for users to understand and interact with the value proposition they provide. - Joel Ogunsola, Prunedge Development Technologies Ltd

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3. Web3

Web3 is a game changer. As decentralized tech such as blockchain comes to power, the internet’s infrastructure, Web3, will be run by builders and users rather than “gatekeepers” such as the search engines and social platforms that largely control the Web today. This shift will change how data is held—from consumers offering their data for access to services, as we do today, to services offering data protection instead. - Sandeep Malhotra, Mastercard

4. Blockchain

A few changes are coming, but key among those is blockchain technology. As the world moves to granular democratization enabled by tech, blockchain is a key enabler, giving the power to the end user without intermediary help. And this power can be used not just for financial transactions but for any transactions—it enables them to be carried out discreetly, providing the user with privacy, confidentiality and control over their data and its uses at all times. - Vivek Shaurya, beGalileo

5. Enhanced Comparison Shopping Tools

With rampant inflation across the world in almost every product category, I see more consumers comparison shopping. That’s an obvious statement, but it will lead to more robust comparison calculators and technology across websites that typically don’t provide these services. Comparisons won’t just be to other products within the same brand; users will also be able to compare variables such as career or life fulfillment. How much do I value my time? Does this product provide joy and happiness? - Brad Redding, Elevar

6. Microtransactions To Access Content

I see a trend toward more microtransactions. The Web is too siloed at the moment, and almost no one can afford multiple subscriptions for quality content behind paywalls, paid newsletters and so on. The evolution toward bite-sized content, in which you’ll pay for the one article you want to read or the one video you want to watch via micro payment (likely on top of crypto rails), will unlock quality content for the masses and, hopefully, contribute to the general population being more informed. - Nico Girard, OXIO

7. New Personalization Strategies

As we witness the demise of the third-party cookie, it’s evident that a new and improved personalization strategy will have to take its place. Accordingly, we’ll see new strategies for online personalization—especially in e-commerce—gain traction this year as companies aim to prioritize such things as on-site actions and real-time, demonstrated preferences rather than demographic data. - Alexandre Robicquet, Crossing Minds

8. AI-Generated Content

One trend will be using artificial intelligence to create Web content that’s personalized to the individual customer. From shopping to support, this AI-generated Web content will create an experience akin to having a personal concierge. In addition, this trend will drive growth in AI-powered chatbots and voice assistants, evolving the Web into more conversational, rather than point-and-click, interactions. - Gary Nakanelua, Blueprint

9. ‘MOD-ifiable’ Software

“MOD-ifiable” software is a growing trend. In the gaming industry, developers have software frameworks—MODs—that let them add players, levels and worlds to their favorite games. MODs are coming to cloud-based enterprise software as well. A Web-based MOD framework unlocks, for example, the ability to inject thousands of pre-built AI models and D3 visual components into popular applications such as business intelligence tools. - Mark Palmer, TIBCO

10. Prescriptive Marketplaces

Marketplaces will become prescriptive. Websites collect and share tremendous amounts of information and have the intelligence to customize how they interact with you based on that data. Gone will be the days when you had to identify what you wanted and figure out where to get it. Instead, a bot (in your computer, phone or car) will anticipate your needs, notify you and explain how to address them. - Ari Kahn, Bridgeline Digital

11. ‘Meaning’ Creation

The infrastructure and industry standards of Web3, particularly the metaverse, are starting to solidify. As the market matures from its “gold rush” stage, we’re going to see a shift from immediate wealth creation to “meaning” creation. Expect to see more brands building curated metaverse experiences aimed at humanizing the time audiences spend online rather than simply adding to it. - Lincoln Wallen, Improbable Worlds

12. 3D Visualization

3D visualization is becoming the biggest trend in the world of the Web. As the Web has become more easily accessible, users are spending more time online. However, they require immersion—3D content—to gain in-depth perception. Services including Unity, PlayCanvas and PixiJS will make it happen.​​ Using them, you can create fantastic 3D graphics, thus turning a website into an entirely digital world where everything is possible. - Slava Podmurnyi, Visartech Inc.

13. Passwordless Authentication

I expect the World Wide Web to become much more secure. The commitments of Google, Microsoft and Apple to support the FIDO standard in 2023 will accelerate the availability of passwordless authentication and make it the modern standard. And then the problems of password management, weak passwords, credentials phishing and all kinds of password-based breaches will become history. - Aleksandr Galkin, Competera

14. Gamification

Gamification is likely to make a giant leap across all genres of websites, as brands are desperate and are trying innovative means to better engage with their customers. Those in catch-up mode will be forced to adopt basics such as goals and rewards, leaderboards, and so on, while the leaders will start forging cross-website, noncommercial, user-centric, secure gamification alliances with site-agnostic rewards. - Pramod Konandur Prabhakar, Pelatro PLC

15. More Consumer Data Privacy Regulations

More states will enact consumer data privacy protections. Europe’s General Data Protection Regulation and California’s California Consumer Privacy Act continue to pave the way for broader consumer data privacy practices, but operating virtually will continue to accelerate the demand for these protections. Consumers want to know that their privacy is being protected while they use digital services, especially now that most are operating digitally. - Stephen Ritter, Mitek Systems

16. Increased Accessibility Awareness

Judging from what’s been on our clients’ wish lists, accessibility awareness will continue to grow, especially if we’re talking about the public sector and other highly regulated industries. Ensuring professionals with disabilities have equal access to modern tech solutions is a major prerequisite to building an inclusive, welcoming and compliant workplace. - Konstantin Klyagin, Redwerk

PALO ALTO, Calif., July 12, 2022 — TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world’s most complex data-driven challenges. Today, TIBCO announced the release of TIBCO ModelOps, which enables businesses to deploy AI models faster, from anywhere to everywhere, safely and at scale. This addition to the company’s game-changing analytics portfolio helps customers simplify and scale cloud-based analytic model management, deployment, monitoring, and governance.

“While 92% of firms spent more overall on data science in 2021 compared to previous years, only 12.1% deployed it at scale¹. To help organizations realize the value of their AI deployments, we’ve designed a system that puts self-service access to data science firmly in the hands of teams, including business users,” said Mark Palmer, senior vice president, engineering, TIBCO. “This allows decision-making teams to choose the algorithm they want, work from any cloud service, and run it safely, securely, and at scale. This is a bold step to enabling business users to take AI out of the lab and out on the road.”

TIBCO ModelOps addresses the requirement for speed in deploying AI, and draws from TIBCO’s leadership in data science, data visualization, and business intelligence. This aids AI teams in confronting critical deployment hurdles like ease-of-applying analytics to applications, identification and mitigation of bias, and transparency and manageability of an algorithm’s behavior within business-critical applications. The solution enables businesses to deploy and manage model pipelines into production environments efficiently, and in robust ways. The TIBCO ModelOps solution is format-agnostic, supporting all common model formats, including API-based models in any cloud service or on-premises. TIBCO ModelOps makes it easy to add governed models to TIBCO Spotfire, TIBCO Data Virtualization, and TIBCO Streaming, with more to follow. Users looking to employ TIBCO ModelOps in existing environments can take advantage of its format-agnostic and open-standards approach.

The launch of TIBCO ModelOps is the culmination of TIBCO’s extensive work with customers and partners throughout the design and beta program of TIBCO ModelOps. “As the world’s second-largest memory chipmaker, we have aggressive growth goals as we expand our fabrication capacity. Optimizing the yield of our processes, predicting when problems are about to occur, and fixing them before they occur, is a huge competitive advantage for us,” said InSoo Ryu, technical leader, SK Hynix. “The ability to quickly deploy, measure, and adjust models of any kind – machine learning models, python code, rules and more – is essential to our success. TIBCO ModelOps is the right platform to scale our data science efforts with a more governed, process-oriented approach to data science operationalization.”

A recent survey of TIBCO customers confirmed that it’s no longer uncommon for organizations to manage hundreds – even thousands – of analytic models and workflows. TIBCO ModelOps allows any authorized business user, data scientist, analyst, or IT user to manage and deploy thousands of models in production with complete governance and management capabilities. Users are able to deploy in the cloud or on-premises, highlighting model performance through built-in, customizable dashboards powered by Spotfire. With TIBCO ModelOps, clients can now move past the worry of unintended negative consequences of failed automation because of complex or poorly managed AI or rules-based models, making it safer to automate based on validated and secure AI models.

Learn more about TIBCO ModelOps and its advanced analytics capabilities.

Note

¹New Vantage Partners, 2021 Big Data and AI Executive Survey, Tom Davenport and Randy Bean

About TIBCO

TIBCO Software Inc. unlocks the potential of real-time data for making faster, smarter decisions. Our Connected Intelligence Platform seamlessly connects any application or data source; intelligently unifies data for greater access, trust, and control; and confidently predicts outcomes in real time and at scale. Learn how solutions to our customers’ most critical business challenges are made possible by TIBCO at www.tibco.com.

Source: TIBCO

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

Aug 05, 2022 (Alliance News via COMTEX) -- Key Companies Covered in the Cloud API Research are CA, Inc., Dell, Inc., Microsoft Corporation, Salesforce.com, Inc., SAP SE, TIBCO Software Inc., Amazon Web Services, Inc., Google Inc., Oracle Corporation, IBM Corporation and other key market players.

The Cloud APImarket revenue was $$ Million USD in 2016, grew to $$ Million USD in 2022, and will reach $$ Million USD in 2030, with a CAGR of % during 2022-2030.

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

Global Master Data Management (MDM) Market Size, Status, and Forecast 2022-2028. In-depth research accumulated to offer Latest insights about acute features of the global Master Data Management (MDM) market. This report provides a detailed overview of key factors in the Master Data Management (MDM) Market and factors such as driver, restraint, past and current trends, regulatory scenarios and technology development. The impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Master Data Management (MDM) in a special period. This report also compares the markets of Pre COVID-19 and Post COVID-19. In addition, research considers the impact of COVID-19 on the regional economy.

Over the next five years the Master Data Management (MDM) market will register a 13.4% CAGR in terms of revenue, the global market size will reach US$ 6641.4 million by 2026.

Some of the key players profiled in the study are
SAP, Oracle, IBM, Informatica, Stibo Systems, TIBCO Software, Riversand Technologies, Orchestra Networks, EnterWorks, Magnitude, Talend, SAS Institute, Microsoft, KPMG, Teradata, Software AG, Agility Multichannel, VisionWare, SupplyOn AG, Sunway World, Yonyou, and Others.

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Market Outlook:
Master Data Management (MDM) is a method of helping organizations in linking all critical and important data to a master file.

MDM is the process of the collection of best data management practices. The benefits of the Master Data Management (MDM) model increase as the number and diversity of organizational units, the role of workers, and the expansion of computing applications. MDM may be more valuable to large or complex businesses than small, medium, or simple businesses. Master data management can facilitate the operation of a variety of system architectures, platforms and applications.

The key industries are: Banking, Finance and Insurance (BFSI); IT and Telecommunications, Government & Health Care, Manufacturing & Logistics, Others. Manufacturing & Logistics was the largest application which took up about 25.5% of the global total in 2017, closely followed by Banking, Finance and Insurance (BFSI); IT and Telecommunications.

The Leading growing markets are China, India, Southeast Asia, etc. USA, Europe, Japan, etc. are the mature market with lower growth rate.

USA is the largest consumption countries of master data management in the world in the past few years and it will keep increasing in the next few years. USA market took up about 35% the global market in 2017, while Europe was about 30%, and China is followed with the share about 10%.

USA, Denmark, UK and China are now the key developers of master data management. There are some other vendors, such as Sunway World, Yonyou, etc. in China, but the Chinese market is still controlled by foreign vendors.

SAP, Oracle, IBM, Informatica, Stibo Systems, TIBCO Software, Riversand Technologies, Orchestra Networks, EnterWorks and Magnitude are the key suppliers in the global Master data management market. Top 10 took up about 50% of the global market in 2017. Abroad vendors took up more than 50% of the Chinese market.

Most important types of Master Data Management (MDM) covered in this report are:
Customer Data

Product Data

Others

Most widely used downstream fields of Master Data Management (MDM) market covered in this report are:
Banking, Finance and Insurance (BFSI)

IT and Telecommunications

Government & Health Care

Manufacturing & Logistics

Others

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

To Get Complete Access Of The Report Click Here: 

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Impact of the Master Data Management (MDM) Market report:

–Comprehensive assessment of all opportunities and risk in the Master Data Management (MDM) Market.
–Master Data Management (MDM) Market recent innovations and major events.
–Detailed study of business strategies for growth of the Master Data Management (MDM) Market market-leading players.
–Conclusive study about the growth plot of Master Data Management (MDM) Market for forthcoming years.
–In-depth understanding of Master Data Management (MDM) Market market-particular drivers, constraints and major micro markets.
–Favorable impression inside vital technological and market latest trends striking the Master Data Management (MDM) Market.

 Strategic Points Covered in Table of Content of Master Data Management (MDM) Market:

– Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Global Master Data Management (MDM) market (2022-2028).

– Chapter 2: Exclusive Summary – the basic information of the Global Master Data Management (MDM) Market.

– Chapter 3: Changing Impact on Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Global Master Data Management (MDM); Post COVID Analysis.

– Chapter 4: Presenting the Global Master Data Management (MDM) Market Factor Analysis, Post COVID Impact Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

– Chapter 5: Displaying the by Type, End User and Region/Country 2018-2022.

– Chapter 6: Evaluating the leading manufacturers of the Global Master Data Management (MDM) Market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile.

– Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2028).

… To be continued

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Data management firm TIBCO has unveiled its new TIBCO ModelOps platform designed to enable faster deployment of AI models at scale.

The Palo Alto-based company cited a 2021 survey from NewVantage Partners that showed a majority of surveyed companies are spending more on their AI initiatives, yet very few have deployed models on a large enough scale for tangible business value or problem solving.

“While 92% of firms spent more overall on data science in 2021 compared to previous years, only 12.1% deployed it at scale. To help organizations realize the value of their AI deployments, we’ve designed a system that puts self-service access to data science firmly in the hands of teams, including business users,” said Mark Palmer, senior VP of engineering, TIBCO. “This allows decision-making teams to choose the algorithm they want, work from any cloud service, and run it safely, securely, and at scale. This is a bold step to enabling business users to take AI out of the lab and out on the road.”

AI operations teams are tasked with building and managing AI models into production environments quickly and efficiently, but problems can arise, especially with large scale projects. TIBCO says its ModelOps solution “aids AI teams in confronting critical deployment hurdles like ease-of-applying analytics to applications, identification and mitigation of bias, and transparency and manageability of an algorithm’s behavior within business-critical applications.” The product is format-agnostic and supports all common model formats, whether in the cloud or on premises, including API-based models. Governed models can be added to the company’s other solutions such as its Spotfire analytics platform, its on-demand Data Virtualization tool, or its streaming analytics platform, TIBCO Streaming.

TIBCO surveyed its own customers and found that many organizations are managing hundreds or even thousands of analytic models and workflows. The company asserts its ModelOps uses low or no-code tooling and is suitable for all users to manage and deploy models, whether they are data scientists or analysts, IT or business users, with total governance and management capabilities. The product features model performance observability options through customizable Spotfire dashboards, and TIBCO says that problems are addressed before automation failure occurs, ensuring more safety and security of deployment.

South Korean memory chipmaker SK Hynix was part of TIBCO’s design and beta testing program for ModelOps: “As the world’s second-largest memory chipmaker, we have aggressive growth goals as we expand our fabrication capacity. Optimizing the yield of our processes, predicting when problems are about to occur, and fixing them before they occur, is a huge competitive advantage for us,” said InSoo Ryu, technical leader, SK Hynix. “The ability to quickly deploy, measure, and adjust models of any kind – machine learning models, python code, rules and more—is essential to our success. TIBCO ModelOps is the right platform to scale our data science efforts with a more governed, process-oriented approach to data science operationalization.”

This chart shows the process of the ModelOps workflow. Click to enlarge. Source: TIBCO

TIBCO also released a master data management SaaS solution, TIBCO Cloud EBX. Cloud EBX users can manage their corporate data, including master data, reference data, and metadata, from anywhere. “The solution is part of TIBCO Cloud Passport, a new consumption-based pricing plan, which enables flexible FinOps (financial operations) and access to all TIBCO SaaS capabilities under a single model. This allows companies to quickly scale their MDM needs without operational complexity,” the company said.

Additionally, TIBCO has announced a significant expansion of its TIBCO Cloud Integration iPaaS product which it says broadens capabilities for integrating applications, data, devices, or other digital assets across hybrid environments. Much like the emphasis on speed seen with ModelOps, Cloud Integration can help businesses accelerate and simplify their application development to stay ahead of the competition.

“It’s essential for organizations to focus on data to overcome today’s many business challenges. Properly leveraging data can empower businesses to turn those challenges into opportunities,” said Randy Menon, senior vice president and general manager, Connect and TIBCO Cloud, TIBCO. “TIBCO Cloud delivers scalable, adaptable solutions that drive integration between all systems, operations, and processes. Together, we enable our customers to unlock the power of real-time data.”

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Embedded Analytics market Global, analyzes and researches the Instant Payments development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market. Top Key Players are – Sisense, Inc., SAS Institute, Microsoft Corporation, Qliktech International Ab, Information Builders, Tibco Software, Inc., BIRST, Inc., Microstrategy Incorporated, Yellowfin International Pty Ltd, Oracle Corporation, Opentext Corporation, SAP SE, Logi Analytics, Tableau Software Inc..

Global “Embedded Analytics Market” (2022-2029) research report highlights on the Embedded Analytics market size, segment size (mainly covering product type, application, and geography), competitor landscape, recent status, and development trends. The report provides the clients with a comprehensive analysis of crucial driving factors, consumer behaviour, growth trends, product utilization, key player analysis, brand positioning and price patterns. Furthermore, the report provides detailed cost analysis, supply chain. Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analysed.

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Embedded Analytics Market Research Report is spread across 99 pages and provides exclusive data, information, crucial statistics, top trends, and competitive landscape details in this niche sector

The Embedded Analytics market has witnessed growth from Million USD to Multimillion USD from 2017 to 2022. With the magnificent CAGR, this market is estimated to reach Multimillion USD in 2029.

This report will help you in making informed business decisions and navigate the innovations taken place in the Embedded Analytics market at one place. The report has applied appropriate methods to analyse the Embedded Analytics market. The report has evaluated the data collecting primary and secondary data. The relevant market information is collected from government databases, newspapers, personal interviews, project reports official websites.

The Embedded Analytics market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Get a demo Copy of the Embedded Analytics Market Report 2022

Insights and Tools:

• Project product values and regional Embedded Analytics markets are estimated by market analyst, data analyst and people from related industry, based on company’s’ revenue and applications market respectively.
• The data sources include but not limited to reports of companies, international organizations and governments, market surveys, and related industry news.
• Analyses of global market trends, with historical data, estimates for 2022 and projections of compound annual growth rates (CAGRs) through 2029
• The market research includes historical and forecast data from like demand, application details, price trends, and company shares by geography, especially focuses on the key regions like United States, European Union, China, Japan, and other regions.
• In addition, the report provides insight into main Embedded Analytics drivers, challenges, opportunities and risk of the market and strategies of suppliers. Key players are profiled as well with their market shares in the global market discussed.

Embedded Analytics Market – Competitive and Segmentation Analysis:

Furthermore, providing an overview of successful top marketing strategies, industry opportunities, contributions, and recent developments of top leading companies, the report also offers a complete overview of leading companies’ past and present performance. Several methodologies and analyses are used in the research report to provide in-depth and accurate information about the Embedded Analytics Market

List of TOP KEY PLAYERS in Embedded Analytics Market Report are

• Sisense, Inc.
• SAS Institute
• Microsoft Corporation
• Qliktech International Ab
• Information Builders
• Tibco Software, Inc.
• BIRST, Inc.
• Microstrategy Incorporated
• Yellowfin International Pty Ltd
• Oracle Corporation
• Opentext Corporation
• SAP SE
• Logi Analytics
• Tableau Software Inc.

Embedded Analytics Market Forecast report gives required information regarding the total valuation that this industry holds presently, and it also lists the segmentation of the market along with the growth opportunities present across this business vertical. The Global Embedded Analytics market growth report 2022 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. Moreover, Consumer behaviour analysis and market dynamics like drivers, restraints, opportunities and provides crucial information for knowing the Embedded Analytics market. The impact of the COVID-19 pandemic on Embedded Analytics market share, global consumer prices, and annual growth rate was also examined in the study.

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The Global Embedded Analytics market is anticipated to rise at a considerable rate during the forecast period, between 2022 and 2029. In 2021, the market is growing at a steady rate and with the rising adoption of strategies by leading players, the market is expected to rise over the projected horizon.

Final Report will add the analysis of the impact of COVID-19 on this industry.

COVID-19 Impact:

Report covers Impact of Coronavirus COVID-19: Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Fiberglass Tanks market in 2021. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor/outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.

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On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into

On the basis of the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate for each application, including

• Banking, Financial Services, and Insurance
• Healthcare and Life Sciences
• Manufacturing
• Retail and Consumer Goods
• Energy and Utilities
• Telecommunications and IT
• Transportation and Logistics

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This Embedded Analytics Market Report Provides Comprehensive Analysis:

• The points that are discussed within the report are the major Embedded Analytics market players that are involved in the market such as market players, raw material suppliers, equipment suppliers, end users, traders, distributors and etc.
• The complete profile of the companies is 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 they are making are also included within the report. This report analysed data history and forecast.
• The growth factors of the market are discussed in detail wherein the different end users of the market are explained in detail.
• Data and information by market player, by region, by type, by application and etc., and custom research can be added according to specific requirements.
• The report contains the SWOT analysis of the market. Finally, the report contains the conclusion part where the opinions of the industrial experts are included.

Key Reasons to Buy this Embedded Analytics Industry Report:

• To gain insightful analyses of the market and have comprehensive understanding of the global Embedded Analytics market and its commercial landscape.
• Assess the production processes, major issues, and solutions to mitigate the development risk.
• To understand the most affecting driving and restraining forces in the market and its impact in the global market.
• Learn about the Embedded Analytics market strategies that are being adopted by leading respective organizations.
• To understand the future Embedded Analytics market outlook and prospects for the market.
• Besides the standard structure reports, we also provide custom research according to specific requirements.

Geographically,the report includes the research on production, consumption, revenue, market share and growth rate, and forecast (2017 -2029) of the following regions:

• United States
• Europe (Germany, UK, France, Italy, Spain, Russia, Poland)
• China
• Japan
• India
• Southeast Asia (Malaysia, Singapore, Philippines, Indonesia, Thailand, Vietnam)
• Latin America (Brazil, Mexico, Colombia)
• Middle East and Africa (Saudi Arabia, United Arab Emirates, Turkey, Egypt, South Africa, Nigeria)
• Other Regions

Years considered for this report:

Historical Years: 2017-2021

Base Year: 2021

Estimated Year: 2022

Forecast Period: 2022-2029

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Major Points from Table of Contents:

1 Embedded Analytics Market Overview1.1 Product Overview and Scope of Embedded Analytics
1.2 Embedded Analytics Segment by Type
1.2.1 Global Embedded Analytics Sales and CAGR Comparison by Type (2017-2029)
1.2.2 The Market Profile of Fluid Management system
1.2.3 The Market Profile of Fluid Management Disposables and Accessories
1.2.4 The Market Profile of Visualization System and Accessories Market
1.3 Global Embedded Analytics Segment by Application
1.3.1 Embedded Analytics Consumption (Sales) Comparison by Application (2017-2029)
1.3.2 The Market Profile of Neurology
1.3.3 The Market Profile of Laparoscopy
1.3.4 The Market Profile of Urology
1.3.5 The Market Profile of Arthroscopy

2 Global Embedded Analytics Market Landscape by Player
2.1 Global Embedded Analytics Sales and Share by Player (2017-2022)
2.2 Global Embedded Analytics Revenue and Market Share by Player (2017-2022)
2.3 Global Embedded Analytics Average Price by Player (2017-2022)
2.4 Global Embedded Analytics Gross Margin by Player (2017-2022)
2.5 Embedded Analytics Manufacturing Base Distribution, Sales Area and Product Type by Player
2.6 Embedded Analytics Market Competitive Situation and Trends
2.6.1 Embedded Analytics Market Concentration Rate
2.6.2 Embedded Analytics Market Share of Top 3 and Top 6 Players
2.6.3 Mergers and Acquisitions, Expansion

3 Embedded Analytics Upstream and Downstream Analysis
3.1 Embedded Analytics Industrial Chain Analysis
3.2 Key Raw Materials Suppliers and Price Analysis
3.3 Key Raw Materials Supply and Demand Analysis
3.4 Manufacturing Process Analysis
3.5 Market Concentration Rate of Raw Materials
3.6 Downstream Buyers
3.7 Value Chain Status Under COVID-19

4 Embedded Analytics Manufacturing Cost Analysis
4.1 Manufacturing Cost Structure Analysis
4.2 Embedded Analytics Key Raw Materials Cost Analysis
4.2.1 Key Raw Materials Introduction
4.2.2 Price Trend of Key Raw Materials
4.3 Labor Cost Analysis
4.3.1 Labor Cost of Embedded Analytics Under COVID-19
4.4 Energy Costs Analysis
4.5 RandD Costs Analysis

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5 Market Dynamics
5.1 Drivers
5.2 Restraints and Challenges
5.3 Opportunities

6 Players Profiles
6.1.1 Basic Information, Manufacturing Base, Sales Area and Competitors
6.1.2 Embedded Analytics Product Profiles, Application and Specification
6.1.3 Embedded Analytics Market Performance (2017-2022)
6.1.4 Business Overview

7 Global Embedded Analytics Sales and Revenue Region Wise (2017-2022
7.1 Global Embedded Analytics Sales and Market Share, Region Wise (2017-2022)
7.2 Global Embedded Analytics Revenue (Revenue) and Market Share, Region Wise (2017-2022)
7.3 Global Embedded Analytics Sales, Revenue, Price and Gross Margin (2017-2022)
7.4 United States Embedded Analytics Sales, Revenue, Price and Gross Margin (2017-2022)
7.4.1 United States Embedded Analytics Market Under COVID-19
7.5 Europe Embedded Analytics Sales, Revenue, Price and Gross Margin (2017-2022)
7.5.1 Europe Embedded Analytics Market Under COVID-19
7.6 China Embedded Analytics Sales, Revenue, Price and Gross Margin (2017-2022)

8 Global Embedded Analytics Sales, Revenue (Revenue), Price Trend by Type
8.1 Global Embedded Analytics Sales and Market Share by Type (2017-2022)
8.2 Global Embedded Analytics Revenue and Market Share by Type (2017-2022)
8.3 Global Embedded Analytics Price by Type (2017-2022)
8.4 Global Embedded Analytics Sales Growth Rate by Type (2017-2022)

9 Global Embedded Analytics Market Analysis by Application
9.1 Global Embedded Analytics Consumption and Market Share by Application (2017-2022)
9.2 Global Embedded Analytics Consumption Growth Rate by Application (2017-2022)
9.2.1 Global Embedded Analytics Consumption Growth Rate of Neurology (2017-2022)
9.2.2 Global Embedded Analytics Consumption Growth Rate of Laparoscopy (2017-2022)
9.2.3 Global Embedded Analytics Consumption Growth Rate of Urology (2017-2022)
9.2.4 Global Embedded Analytics Consumption Growth Rate of Arthroscopy (2017-2022)

10 Global Embedded Analytics Market Forecast (2022-2029)
10.1 Global Embedded Analytics Sales, Revenue Forecast (2022-2029)
10.1.1 Global Embedded Analytics Sales and Growth Rate Forecast (2022-2029)
10.1.2 Global Embedded Analytics Revenue and Growth Rate Forecast (2022-2029)
10.1.3 Global Embedded Analytics Price and Trend Forecast (2022-2029)
10.2 Global Embedded Analytics Sales and Revenue Forecast, Region Wise (2022-2029)

11 Research Findings and Conclusion

12 Appendix
12.1 Methodology
12.2 Research Data Source

…………Continued

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To view the original version on The Express Wire visit Embedded Analytics Market Future Trends, Size, Share, Growth Factors, 2022 Top Leaders, Competitive Landscape and Regional Forecast 2029

New Solution Empowers the Enterprise to Embrace AI with Confidence and Speed

PALO ALTO, Calif., July 12, 2022--(BUSINESS WIRE)--TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world's most complex data-driven challenges. Today, TIBCO announced the release of TIBCO® ModelOps, which enables businesses to deploy AI models faster, from anywhere to everywhere, safely and at scale. This addition to the company’s game-changing analytics portfolio helps customers simplify and scale cloud-based analytic model management, deployment, monitoring, and governance.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220712005231/en/

"While 92% of firms spent more overall on data science in 2021 compared to previous years, only 12.1% deployed it at scale¹. To help organizations realize the value of their AI deployments, we’ve designed a system that puts self-service access to data science firmly in the hands of teams, including business users," said Mark Palmer, senior vice president, engineering, TIBCO. "This allows decision-making teams to choose the algorithm they want, work from any cloud service, and run it safely, securely, and at scale. This is a bold step to enabling business users to take AI out of the lab and out on the road."

TIBCO ModelOps addresses the requirement for speed in deploying AI, and draws from TIBCO’s leadership in data science, data visualization, and business intelligence. This aids AI teams in confronting critical deployment hurdles like ease-of-applying analytics to applications, identification and mitigation of bias, and transparency and manageability of an algorithm’s behavior within business-critical applications. The solution enables businesses to deploy and manage model pipelines into production environments efficiently, and in robust ways. The TIBCO ModelOps solution is format-agnostic, supporting all common model formats, including API-based models in any cloud service or on-premises. TIBCO ModelOps makes it easy to add governed models to TIBCO Spotfire®, TIBCO® Data Virtualization, and TIBCO® Streaming, with more to follow. Users looking to employ TIBCO ModelOps in existing environments can take advantage of its format-agnostic and open-standards approach.

Story continues

The launch of TIBCO ModelOps is the culmination of TIBCO’s extensive work with customers and partners throughout the design and beta program of TIBCO ModelOps. "As the world’s second-largest memory chipmaker, we have aggressive growth goals as we expand our fabrication capacity. Optimizing the yield of our processes, predicting when problems are about to occur, and fixing them before they occur, is a huge competitive advantage for us," said InSoo Ryu, technical leader, SK Hynix. "The ability to quickly deploy, measure, and adjust models of any kind – machine learning models, python code, rules and more – is essential to our success. TIBCO ModelOps is the right platform to scale our data science efforts with a more governed, process-oriented approach to data science operationalization."

A recent survey of TIBCO customers confirmed that it's no longer uncommon for organizations to manage hundreds – even thousands – of analytic models and workflows. TIBCO ModelOps allows any authorized business user, data scientist, analyst, or IT user to manage and deploy thousands of models in production with complete governance and management capabilities. Users are able to deploy in the cloud or on-premises, highlighting model performance through built-in, customizable dashboards powered by Spotfire®. With TIBCO ModelOps, clients can now move past the worry of unintended negative consequences of failed automation because of complex or poorly managed AI or rules-based models, making it safer to automate based on validated and secure AI models.

Learn more about TIBCO ModelOps and its advanced analytics capabilities.

Follow @TIBCO on Twitter and our Facebook, Instagram, and LinkedIn.

¹New Vantage Partners, 2021 Big Data and AI Executive Survey, Tom Davenport and Randy Bean

About TIBCO

TIBCO Software Inc. unlocks the potential of real-time data for making faster, smarter decisions. Our Connected Intelligence Platform seamlessly connects any application or data source; intelligently unifies data for greater access, trust, and control; and confidently predicts outcomes in real time and at scale. Learn how solutions to our customers’ most critical business challenges are made possible by TIBCO at www.tibco.com.

TIBCO, Spotfire, and the TIBCO logo are trademarks or registered trademarks of TIBCO Software Inc. and/or its subsidiaries in the United States and/or other countries. All other product and company names and marks mentioned in this document are the property of their respective owners and are mentioned for identification.

View source version on businesswire.com: https://www.businesswire.com/news/home/20220712005231/en/

Contacts

Lindsey Ashjian Torres
TIBCO Software Inc.
(650) 846-8862
publicrelations@tibco.com

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

Jul 27, 2022 (Alliance News via COMTEX) -- New York (US) - Key Companies Covered in the Function-as-a-Service Market Research are IBM (US), Google (US), Microsoft (US), Amazon Web Services(US), SAP (Germany), Dynatrace (US), Infosys (India), Rogue Wave Software (US), TIBCO Software (US), Fiorano Software and Affiliates (US) and other key market players.

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

(Bloomberg) -- Tom Krause, who stepped down Monday as president of Broadcom Inc.’s software group, has been named chief executive officer of the company being formed via the merger of Citrix Systems Inc. and Tibco Software.

Most Read from Bloomberg

Citrix said Monday that Krause is to become CEO after that deal closes, confirming a report by Bloomberg News. The transaction is slated to close in the third quarter.

Krause, 44, was one of the chief negotiators in Broadcom’s $61 billion acquisition of cloud-computing company VMware Inc. He joined Broadcom in 2012 and became its chief financial officer in 2016. Since 2020, he’s led the chip firm’s six software divisions.

Elliott Investment Management and Vista Equity Partners agreed to buy Citrix in January for about $13 billion, with plans to merge it with Vista portfolio company Tibco.

“Tom is the right leader for the combined company, bringing decades of deep industry experience and an unparalleled track record of building companies and setting them up for sustainable growth and value creation,” Elliott’s head of North American private equity David Kerko, said in a statement.

Vista Equity Partners Managing Director John Stalder said the firm has the “highest confidence in Tom’s ability to lead the combined teams.”

Citrix makes software that workers use to log onto to their corporate programs virtually. Tibco is an enterprise data management firm. The combination will create one of the world’s largest software providers, serving 400,000 customers, according to a statement announcing the merger.

“I am excited to partner with the leadership teams and talented employees from Citrix and Tibco around the world to drive growth and ensure a successful path forward for the combined company,” Krause said.

Story continues

(Updates with confirmation from press releases started in first paragraph)

Most Read from Bloomberg Businessweek

©2022 Bloomberg L.P.

The award for the wildest paintjob at the Tour de France had been handed out before the race even started in Copenhagen, after the EF Education-EasyPost team unveil another collaboration between kit sponsor Rapha and streetwear brand Palace.

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Having splashed a duck across team kit at the 2020 Giro d’Italia, it’s a dragon for the 2022 Tour, with the switch-out design for the team’s kit and bikes revealed ahead of the Grand Départ.

We’ve had the chance to take a closer look at the Cannondale SystemSix Hi-Mod of EF Education-EasyPost rider – and former Tour of Flanders winner – Alberto Bettiol. It’s as out-there as you’d imagine.

Rapha x Palace (x Cannondale)

The design is primarily a collaboration between Rapha and Palace, though it also extends to the team’s Cannondale bikes.

The dragon-led design will also be applied to the kit and bikes of the EF-Education TIBCO-SVB women’s team and is a celebration of the Tour de France Femmes, the first women’s Tour de France stage race in 33 years.

The race starts on 24 July, the final day of the men’s Tour de France, and will see riders cover 1,029km across eight days, starting in Paris – where the men’s race ends – and finishing with the climb of La Planche des Belles Filles.

The key themes of the kit design extend to Bettiol’s Cannondale, with a dragon and Venus symbol on the seat tube.

There’s a pink-to-white-to-blue-to-purple fade from front to back and numerous other elements of design flair to admire, including a dragon’s claws extending over the top of the driveside chainstay.

All systems go

We photographed Bettiol’s SystemSix but the Italian also uses the Cannondale SuperSix Evo Hi-Mod, switching between the brand’s aero bike and lightweight all-rounder.

The SystemSix was launched in 2018 with much fanfare – at the time, Cannondale proclaimed it to be the fastest UCI-legal road bike in the world.

It’s a bike we’ve also since awarded a rare, five-star review (you can read our Cannondale SystemSix Hi-Mod eTap AXS review).

Four years on from launch and, despite the release of new aero road bikes at this year’s Tour, including the latest Trek Madone SLR and Scott Foil RC, Bettiol’s ride bears all the hallmarks of an up-to-date aero machine, with deep tubes, dropped seatstays and an integrated cockpit from Vision.

Tour-ready spec

In terms of spec, Bettiol’s bike sports a mix of Shimano Dura-Ace Di2 and FSA components across the drivetrain.

The 12-speed shifters, derailleurs and cassette come from Shimano Dura-Ace R9200 (along with the brakes), while the chainset combines 54/40t FSA chainrings with FSA’s SL-K Light crank.

There’s no power meter – we’re told Bettiol doesn’t normally use a power meter for racing and only sometimes for training – but there is a Wahoo Elemnt Bolt computer (also in pink) to track more basic data.

Vision provides the wheelset, with a pair of Metron SL Disc wheels shod with tubeless Vittoria Corsa Graphene 2.0 tyres in a 28c size.

EF Education-EasyPost is one of many teams using tubeless tyres at this year’s race – one of our key Tour de France tech trends for 2022.

The pink Muc-Off valves are also a nice touch to finish the rolling stock.

As for his saddle, Bettiol sits on a Prologo Scratch M5 with carbon rails.

And finally, he uses Wahoo Speedplay Aero pedals, which have a single-sided design – unlike the regular Wahoo Speedplay pedals.

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There’s the usual Speedplay interface to clip into on one side, and a dimpled, aero-profiled cover on the other.