After leaving school, Kevin Curtis spent 20 years working as a call operator in a security operations centre. It’s a job he’d still be doing now if he hadn’t had his interest piqued in building websites after starting a blog. He took an online course in coding to find out more – and that, he says, “sparked an interest which eventually became an interest in data analytics, machine learning and artificial intelligence”.
This intrigue eventually led to a career change. Curtis now works as a data entry coordinator for a corporate investment firm, a new direction he sought after studying for the IBM Data Science Professional Certificate on Coursera. “The programme goes through the process of getting information, gathering, preparing and then visualising data and putting it through basic machine learning algorithms,” he says.
For those like Curtis who don’t have many formal qualifications, Coursera offers the opportunity to acquire the in-demand business skills needed to change careers. With 5,200 courses available, there’s plenty of choice. They range from introductory courses for beginners to bachelor’s and master’s degrees from world-class universities – and everything in between.
Anyone who wants to find out more about online learning has the option to take one of the many free courses on offer, but many choose, as Curtis did, to work towards completing a Professional Certificate programme – a course typically lasting a few months, in which learners can build job-specific skills such as project management, digital marketing and cybersecurity. Professional Certificates, offered in partnership with global businesses, such as the Google Data Analytics Professional Certificate, IBM Data Science Professional Certificate and Meta Social Media Marketing Professional, are highly valued by employers and can help you gain new skills that enable you to switch careers.
Although students typically spend about eight hours a week in study, a principal attraction of Coursera is that students can work at their own pace. Curtis has now taken dozens of Coursera programmes, including the IBM Applied AI Professional Certificate. The suggested length of time for study was six months, but he completed it in just one. “I just fly through those things, especially when you have some knowledge already on those areas,” he says.
Learning is asynchronous (you don’t have to attend a lecture or seminar at a set time), and study materials are typically a mix of short videos and set texts, with revision quizzes to test knowledge at the end of each module. You can, however, ask questions to tutors or join an online discussion forum with other students.
Students can pay for each course individually, but Curtis chose the Coursera Plus option, which, for an annual subscription of £329, provides unlimited access to more than 90% of the learning programmes. Whenever he wants to learn a new skill for work, he turns to Coursera. “The annual subscription for me is brilliant because I dip in and out of things all the time. It’s a huge catalogue of different skills.”
Like Curtis, John Guinn doesn’t have a bachelor’s degree, but has used Coursera as a way to acquire and expand his professional skills. Guinn started his career as a telecoms engineer before setting up a travel agency. A weekly gig as a travel expert on a community radio show led to an interest in journalism, and he took a master’s degree in online journalism with a university – although this was not done through Coursera. He now works as a local news journalist, reporting on the activities of local authorities.
For Guinn, Coursera has offered him an easily accessible way of gaining the skills he needs to enable him to Improve at his job. He has taken seven courses so far, including a short course on scepticism, offered by the University of California, to Improve his ability to ask thoughtful questions. “Although my online journalism master’s taught me how to do online journalism, it didn’t teach me how to be a journalist,” he says.
Another Coursera course where he enriched his knowledge, and hence his questioning skills, was the Act on Climate: Steps to Individual, Community, and Political Action course, run by the University of Michigan. This has enabled Guinn to challenge local authorities directly about their policies relating to climate change.
The other courses he’s studied, more technical in nature, such as Visualization for Data Journalism, have taught him how to analyse and visualise data. These have been invaluable in enabling him to spot information tucked away in the spreadsheets that local authorities are legally required to publish. Close analyses can generate important local news stories by revealing information that a local authority is reluctant to publicise. It has enabled Guinn to spot, for example, that, despite making public pronouncements about the importance of recycling, one council’s recycling rate has gone down while its incineration rate has gone up.
Guinn plans to continue taking Coursera courses to sharpen his journalism and data analysis skills and, like Curtis, has signed up for an annual Coursera Plus subscription. He hopes these skills will help him move into more in-depth investigative journalism, focusing, in particular, on climate change.
Both Guinn and Curtis have found that Coursera courses can be life-transforming, contributing to their current positions. “Based on the value I’ve got from it, I’d absolutely recommend it,” says Curtis.
Whether you’re at the beginning of your career journey or looking to enhance your skillset to make a mid-career transition, you can choose from a range of learning experiences on Coursera to find the programmes that are right for you.
Ideas are crucial for spurring innovations in products and services. One such innovative leader is Heena Purohit, who plays a major role in providing teams with a framework for maturing their ideas into products for customers.
Analytics India Magazine interacted with Purohit, head of product at IBM. She is the product lead at IBM’s internal incubator program, which enables IBMers to bring innovative ideas and solutions to the real world. Purohit founded ‘AI for Her’ — a 501(c)(3) non-profit organisation on a mission to bring more women and gender minorities into AI. By reducing the AI diversity gap, it helps to build AI systems that are fair and unbiased.
“A typical day for me involves working with various venture teams that deal with emerging technologies and advising them on their product strategy and execution. This includes tasks such as designing and helping teams execute experiments to ensure the venture would be a viable business for IBM, coaching teams on product thinking or, if needed, rolling up my sleeves and supporting the teams in building customer collateral, lead customer/user interviews, and support sales execution.”
Transforming ideas into products
Purohit says that no two days are alike at work, especially since each venture team is different and is solving a unique customer problem in a distinct way. “And that’s the most fun part of my job!”
She says, “My program is open for IBMers around the world, providing an opportunity to surface and test the best ideas across IBM. This helps in facilitating a culture of innovation and intrapreneurship within the company, while helping IBM build and launch the next generation of products, faster.” She adds that for many teams submissions are ideas and technologies they’ve been working on for years. Being selected in the program finally gives them the opportunity to put their experiments to work and see if they’re actually viable.
Implementing AI in product management
In her initial years at IBM, Purohit built AI solutions for industrial customers driving the strategy, product management and design to help manufacturing clients. She holds an undergraduate degree in telecommunications engineering from the University of Mumbai, where she built solutions involving IoT data/sensors. She also holds a double-major MBA from the University of Notre Dame. “So during my MBA, I came across a brand-new business that IBM was launching (Watson IoT), I applied and was selected for a product management internship role in the unit.”
Purohit says, like many others, she fell into AI following her interests. “While IoT sensors were a disruptive way to get more data than ever, I felt gravitated towards the part where you analyse the data – from IoT sensors, or other structured and unstructured data – to unlock new insights. I was fascinated by how AI/ML technologies enabled us to do that in new ways.”
She said her AI journey began during this period, where she had the opportunity to launch and scale vertical AI solutions for industrial customers. The experience gave insights into having a firsthand look at the opportunities and challenges that customers are facing in adopting AI across the company. Having worked with some of the most brilliant AI minds at the company, Purohit says that her passion for emerging AI technologies and solving key business problems only grew.
‘You don’t have to be a data scientist to understand or benefit from AI’
Having worked with several customers and mentees to help them adopt AI or get into AI roles, Purohit shares one of her biggest learnings, “You don’t have to be a data scientist to understand or benefit from AI. This is also freeing because as AI technologies get more and more accessible, it helps bring more diverse voices in AI discussions, getting them to help build an AI-powered future.”
More specifically to her experience working on emerging technologies, Heena says that this is a great time to build a product. “To get started, think about all the tasks you do in your personal and professional life. Identify the manual/repetitive/mundane tasks and think if AI can help you Improve that experience. If the answer is yes, try it out. It’s very likely that there’s a no-code AI tool out there for you to prototype this. This way, you’re not only dipping your toes in AI but also gaining the experience in using AI tools, so that you can then move on to solving bigger and better problems with AI.”
Purohit has been on a mission to make AI more accessible and help bring more people into the AI industry. She adds that this has manifested into the decisions made around which products to lead. Outside her current role at IBM, Purohit has spoken at over 20 events on the topic, and been published in over 15 books and articles. The tech leader has actively judged AI solutions at 6 hackathons. “The ‘AI for Her’ content on getting into AI and AI literacy has impacted over 12,000 students. And this feels like just the beginning.”
Find your tribe of cheerleaders and supporters
Purohit shares that across all channels, the biggest takeaways have come from the questions since they provide insight into the pain points that people are facing today. “These challenges often don’t pertain to the technical skills gap but around the mindset shift. And that’s why in most of the sessions I’ve delivered, we end up touching upon subjects such as imposter syndrome, knowing your worth, and finding your tribe of cheerleaders and supporters,” she said.
She credits IBM for providing an incredible network of mentors that inspired and gave her opportunities to grow. “Perfect segway from the mindset shift because I faced that as I moved up in my career trajectory, too. It’s important to acknowledge that one doesn’t get to where they are without the help of others. I’m grateful for the support I’ve received, and it’s also why I feel passionately about paying it forward.”
Purohit was recognised as one of the Top 11 ‘Women AI Leaders’ at RISE 2020 and Datatech Vibe’s 2021 ‘Top Women Leaders In AI To Watch’. She was awarded the University’s Alumni Award in 2019 for her impact on women in technology initiatives. “I feel incredibly thankful for both recognitions and am honoured to be mentioned alongside many of the women I admire. I want to talk about how this happened. At the start of the pandemic, when everyone was in strict lockdown, I missed my break room conversations where I’d catch up with my colleagues and geek out on AI. I raised this on one of my favourite Women in Tech Facebook groups and turns out, many other women missed this, too.”
Purohit says that this led to the establishment of ‘AI for Her’. “This gave me the confidence to take this further and we’re now a 501c3 nonprofit on a mission to reduce the gender gap in the AI industry today and amplify the message that everyone can get into AI. We’ve been brewing some even more exciting things this year and looking forward to the launch!”
1. Favourite thing in the ML/AI industry today & why? I’m incredibly excited about foundation models. Having tested various foundation models, I can attest that not only are they better than anything else I’ve used, but also they’re equally flawed. So, while I know we have a way to go before foundation models become usable, I’m excited by how they could transform many areas of our lives today
2. Top three apps you frequently use: YouTube, Elevate, and Reddit
3. Favourite book on AI: Weapons of Math Destruction
4. Favourite podcast in AI and ML: I prefer non-AI podcasts to bring in more diversity to my day-to-day life. I love Exponent (Ben Thomson’s podcast on tech business analysis) and Acquired (Great storytelling and startup analysis)
5. What would you have been doing if you weren’t a Product Head? I would certainly still be in tech. But as a consultant or a Product Owner
6. How do you define your leadership style? I strive to lead with empathy. Since the pandemic, this has become more important to me than ever
The latest release from WMR titled Healthcare Operational Analytics Market Research Report 2022-2029 contains all relevant information and Growth Factors. Providing its clients with accurate data, it provides the market outlook and helps in the making of crucial decisions. The market is described in general terms, along with its definition, uses, advancements, and production technology. This market research report on Healthcare Operational Analytics keeps tabs on all emerging advancements and changes in the industry. It provides information on the challenges faced when starting a business and offers advice on how to deal with impending difficulties. Healthcare Operational Analytics Market Research with 100+ market data Tables, Pie Chat, Graphs & Figures is now released BY WMR.
Ask For demo Report: https://www.worldwidemarketreports.com/sample/817083
The research offers a thorough analysis of the market, taking into consideration important factors including projected sales, cost analysis, import/export, production and consumption trends, CAGR, gross margin, and supply and demand trends. Additionally, it highlights current technological improvements, product innovations, and R&D initiatives in the area.
Analysis By Key Players:
◘ Truven Health Analytics
◘ Verisk Analytics
Analysis By Type
◘ Supply chain analytics
◘ Human resource analytics
◘ Strategic analytics
Analysis By Application
The Healthcare Operational Analytics research report provides an overview of the market, covering definition, applications, product launches, developments, challenges, and geographical regions. Forecasts indicate that the industry will demonstrate high growth due to increased demand in many markets. The Healthcare Operational Analytics study offers an analysis of the market designs currently in use as well as other fundamental aspects.
If you have any queries related to the Healthcare Operational Analytics market report, you can ask our expert: https://www.worldwidemarketreports.com/quiry/817083
𝐓𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭 𝐚𝐢𝐦𝐬 𝐭𝐨 𝐩𝐫𝐨𝐯𝐢𝐝𝐞:
An examination of the dynamics, trends, and projections for the years 2022 through 2029, both qualitatively and quantitatively.
The ability of the customers and suppliers to make financially advantageous decisions and expand their businesses is explained by the use of analysis techniques like SWOT analysis and Porter’s five force analysis.
The detailed research of market segmentation helps in identifying the current market opportunities.
By collecting unbiased information under one roof, our Healthcare Operational Analytics report ultimately helps you save time and money.
𝐑𝐞𝐠𝐢𝐨𝐧-𝐖𝐢𝐬𝐞 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 Healthcare Operational Analytics Market:
◘ The Middle East and Africa (Turkey, GCC Countries, Egypt, South Africa)
◘ North America (United States, Mexico, and Canada)
◘ South America (Brazil etc.)
◘ Europe (Germany, Russia, UK, Italy, France, etc.)
◘ Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)
𝐊𝐞𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐞𝐝
Market Players & Competitor Analysis: The report covers the key players of the industry including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price, and Gross Margin & Sales with a thorough analysis of the market’s competitive landscape and detailed information on vendors and comprehensive details of factors that will challenge the growth of major market vendors.
𝐑𝐞𝐠𝐢𝐨𝐧𝐚𝐥 𝐌𝐚𝐫𝐤𝐞𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:
The report includes the & Regional market status and outlook Further the report provides breakdown details about each region & country covered in the report. Identifying its sales, sales volume & revenue forecast. With detailed analysis by types and applications.
Market key trends include Increased Competition and Continuous Innovations.
𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐚𝐧𝐝 𝐃𝐫𝐢𝐯𝐞𝐫𝐬:
Identifying the Growing Demands and New Technology
𝐏𝐨𝐫𝐭𝐞𝐫’𝐬 𝐅𝐢𝐯𝐞 𝐅𝐨𝐫𝐜𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:
The report provides the state of competition in the industry depends on five basic forces: the threat of new entrants, the bargaining power of suppliers, the bargaining power of buyers, the threat of substitute products or services, and existing industry rivalry.
Healthcare Operational Analytics Market 𝐓𝐚𝐛𝐥𝐞 𝐎𝐟 𝐂𝐨𝐧𝐭𝐞𝐧𝐭:
1. Healthcare Operational Analytics Market Introduction
2. Executive Summary
2.1.Key Findings by Major Segments
2.2.Top strategies by Major Players
3. Global Healthcare Operational Analytics Market Overview
3.1.Healthcare Operational Analytics Market Dynamics
3.2.COVID-19 Impact Analysis in Global Healthcare Operational Analytics Market
3.4.Opportunity Map Analysis
3.5.PORTER’S Five Forces Analysis
3.6.Market Competition Scenario Analysis
3.7.Product Life Cycle Analysis
3.8.Manufacturer Intensity Map
3.9.Major Companies sales by Value & Volume
𝐓𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐩𝐫𝐢𝐦𝐚𝐫𝐲 𝐫𝐞𝐚𝐬𝐨𝐧𝐬 𝐭𝐨 𝐩𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐭𝐡𝐞 Healthcare Operational Analytics Market report:
The global Healthcare Operational Analytics market research analysis provides exact and thorough insightful insights on industry trends, allowing businesses to make useful and smart decisions to gain a competitive advantage over the competition.
It provides a complete analysis of the Healthcare Operational Analytics market as well as the most exact rising industry trends in the global Healthcare Operational Analytics market.
The global Healthcare Operational Analytics market is comprised of valuable suppliers, industry trends, and massive movement in demand from 2022 to 2029.
Finally, the global Healthcare Operational Analytics market report provides a systematic and descriptive analysis of the Healthcare Operational Analytics market, supported by historical and current information of key players and vendors, and all of the factors mentioned above, as well as potential future developments, to help in gaining critical insights regarding revenue, volume, and others, which could benefit clients in business-related decisions.
𝐁𝐮𝐲 𝐓𝐡𝐢𝐬 𝐏𝐫𝐞𝐦𝐢𝐮𝐦 𝐑𝐞𝐩𝐨𝐫𝐭 𝐔𝐩𝐭𝐨 𝟕𝟎% 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐚𝐭: https://www.worldwidemarketreports.com/promobuy/817083
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IBM announced it will add Red Hat storage product roadmaps and Red Hat associate teams to the IBM Storage business unit, bringing consistent application and data storage across on-premises infrastructure and cloud.
With the move, IBM will integrate the storage technologies from Red Hat OpenShift Data Foundation (ODF) as the foundation for IBM Spectrum Fusion. This combines IBM and Red Hat's container storage technologies for data services and helps accelerate IBM's capabilities in the burgeoning Kubernetes platform market.
In addition, IBM intends to offer new Ceph solutions delivering a unified and software defined storage platform that bridges the architectural divide between the data center and cloud providers. This further advances IBM's leadership in the software defined storage and Kubernetes platform markets, according to the vendor.
"Red Hat and IBM have been working closely for many years, and today's announcement enhances our partnership and streamlines our portfolios," said Denis Kennelly, general manager of IBM Storage, IBM Systems. "By bringing together the teams and integrating our products under one roof, we are accelerating the IBM's hybrid cloud storage strategy while maintaining commitments to Red Hat customers and the open-source community."
Benefits of the software defined portfolio available from IBM will include:
"Red Hat and IBM have a shared belief in the mission of hybrid cloud-native storage and its potential to help customers transform their applications and data," said Joe Fernandes, vice president of hybrid platforms, Red Hat. "With IBM Storage taking stewardship of Red Hat Ceph Storage and OpenShift Data Foundation, IBM will help accelerate open-source storage innovation and expand the market opportunity beyond what each of us could deliver on our own. We believe this is a clear win for customers who can gain a more comprehensive platform with new hybrid cloud-native storage capabilities."
Under the agreement between IBM and Red Hat, IBM will assume Premier Sponsorship of the Ceph Foundation, whose members collaborate to drive innovation, development, marketing, and community events for the Ceph open-source project.
IBM Ceph and Red Hat OpenShift Data Foundation will remain 100% open source and will continue to follow an upstream-first model, reinforcing IBM's commitment to these vital communities, according to the company.
Red Hat and IBM intend to complete the transition by January 1, 2023, which will involve the transfer of storage roadmaps and Red Hat associates to the IBM Storage business unit.
Following this date, Red Hat OpenShift Platform Plus will continue to include OpenShift Data Foundation, sold by Red Hat and its partners.
Additionally, Red Hat OpenStack customers will still be able to buy Red Hat Ceph Storage from Red Hat and its partners. Red Hat OpenShift and Red Hat OpenStack customers with existing subscriptions will be able to maintain and grow their storage footprints as needed, with no change in their Red Hat relationship.
Forthcoming IBM Ceph and IBM Spectrum Fusion storage solutions based on Ceph are expected to ship beginning in the first half of 2023.
For more information about this news, visit www.ibm.com.
Data Analytics in L & H Insurance Market 2022-2028
This press release was orginally distributed by SBWire
Pune, Maharashtra — (SBWIRE) — 10/08/2022 — The Latest research study released by HTF MI "Data Analytics in L & H Insurance Market" with 100+ pages of analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. Understanding the segments helps in identifying the importance of different factors that aid the market growth. Some of the Major Companies covered in this Research are Deloitte, SAP AG, LexisNexis, IBM, Verisk Analytics, Pegasystems, Oracle, OpenText, Majesco, SAS, TIBCO Software, Prima Solutions, Qlik, Global IQX, Earnix & Atidot etc.
Click here for free demo + related graphs of the report @: https://www.htfmarketreport.com/sample-report/3354367-data-analytics-in-l-h-insurance-market
Browse market information, tables and figures extent in-depth TOC on "Data Analytics in L & H Insurance Market by Application (Predictive Analysis, Demographic Profiling, Data Visualization & Others), by Product Type (, Service & Software), Business scope, Manufacturing and Outlook – Estimate to 2027".
for more information or any query mail at [email protected]
At last, all parts of the Data Analytics in L & H Insurance Market are quantitatively also subjectively valued to think about the Global just as regional market equally. This market study presents basic data and true figures about the market giving a deep analysis of this market based on market trends, market drivers, constraints and its future prospects. The report supplies the worldwide monetary challenge with the help of Porter's Five Forces Analysis and SWOT Analysis.
If you have any Enquiry please click here @: https://www.htfmarketreport.com/enquiry-before-buy/3354367-data-analytics-in-l-h-insurance-market
Customization of the Report: The report can be customized as per your needs for added data up to 3 businesses or countries .
On the basis of report- titled segments and sub-segment of the market are highlighted below:
Data Analytics in L & H Insurance Market By Application/End-User (Value and Volume from 2022 to 2027) : Predictive Analysis, Demographic Profiling, Data Visualization & Others
Market By Type (Value and Volume from 2022 to 2027) : , Service & Software
Data Analytics in L & H Insurance Market by Key Players: Deloitte, SAP AG, LexisNexis, IBM, Verisk Analytics, Pegasystems, Oracle, OpenText, Majesco, SAS, TIBCO Software, Prima Solutions, Qlik, Global IQX, Earnix & Atidot
Geographically, this report is segmented into some key Regions, with manufacture, depletion, revenue (million USD), and market share and growth rate of Data Analytics in L & H Insurance in these regions, from 2017 to 2027 (forecast), covering China, USA, Europe, Japan, Korea, India, Southeast Asia & South America and its Share (%) and CAGR for the forecasted period 2022 to 2027
Informational Takeaways from the Market Study: The report Data Analytics in L & H Insurance matches the completely examined and evaluated data of the noticeable companies and their situation in the market considering impact of Coronavirus. The measured tools including SWOT analysis, Porter's five powers analysis, and assumption return debt were utilized while separating the improvement of the key players performing in the market.
Key Development's in the Market: This segment of the Data Analytics in L & H Insurance report fuses the major developments of the market that contains confirmations, composed endeavors, R&D, new thing dispatch, joint endeavours, and relationship of driving members working in the market.
To get this report buy full copy @: https://www.htfmarketreport.com/buy-now?format=1&report=3354367
Some of the important question for stakeholders and business professional for expanding their position in the Data Analytics in L & H Insurance Market :
Q 1. Which Region offers the most rewarding open doors for the market Ahead of 2021?
Q 2. What are the business threats and Impact of latest scenario Over the market Growth and Estimation?
Q 3. What are probably the most encouraging, high-development scenarios for Data Analytics in L & H Insurance movement showcase by applications, types and regions?
Q 4.What segments grab most noteworthy attention in Data Analytics in L & H Insurance Market in 2020 and beyond?
Q 5. Who are the significant players confronting and developing in Data Analytics in L & H Insurance Market?
For More Information Read Table of Content @: https://www.htfmarketreport.com/reports/3354367-data-analytics-in-l-h-insurance-market
Key poles of the TOC:
Chapter 1 Data Analytics in L & H Insurance Market Business Overview
Chapter 2 Major Breakdown by Type [, Service & Software]
Chapter 3 Major Application Wise Breakdown (Revenue & Volume)
Chapter 4 Manufacture Market Breakdown
Chapter 5 Sales & Estimates Market Study
Chapter 6 Key Manufacturers Production and Sales Market Comparison Breakdown
Chapter 8 Manufacturers, Deals and Closings Market Evaluation & Aggressiveness
Chapter 9 Key Companies Breakdown by Overall Market Size & Revenue by Type
Chapter 11 Business / Industry Chain (Value & Supply Chain Analysis)
Chapter 12 Conclusions & Appendix
Thanks for studying this article; you can also get an individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, or Southeast Asia.
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Craig Francis (PR & Marketing Manager)
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Phone: +1 (434) 299-0043
For more information on this press release visit: http://www.sbwire.com/press-releases/data-analytics-in-l-h-insurance-market-to-witness-huge-growth-by-2028-ibm-deloitte-sap-1364486.htm
(MENAFN- Ameliorate Digital Consultancy)
Market insights reports recently added a new report on Global Marketing Analytics Market, which an in-depth study is providing complete study of the industry for the period 2022 to 2027. It provides complete overview of Global Marketing Analytics Market industry as all the major industry trends, market subtleties and good set-up. Besides this, the report also provides key statistics on the Marketing Analytics Market status of the leading market players, key trends, and potential growth openings in the market. These study reports are planned with the goal to help the reader in favorable Improve data and make decisions that are helpful to grow their business.
The Marketing Analytics Market was valued at USD 2.13 billion in 2020 and is expected to reach USD 4.68 billion by 2027, at a CAGR of 14% over the forecast period (2022 – 2027) .
Click here to get the latest demo PDF copy of the report: –
The major players covered in the reports are:
– IBM Corporation
– Microsoft Corporation
– Oracle Corporation
– Salesforce.Com Inc.
– Accenture PLC
– Adobe Systems Incorporated
– SAS Institute Inc.
– Teradata Corporation
– Neustar, Inc.
– Pegasystems Inc.
– Tableau Software
– Google LLC
They said research study covers in-depth analysis of multiple market segments based on type, application, and studies different topographies. The report is also inclusive of competitive profiling of the leading Marketing Analytics Market product vendors, and their latest developments. This report has been segmented by type, by application and by geography and also includes the market size and forecast for all these segments. Compounded annual growth rates for all segments have also been provided for 2022 to 2027.
Browse the full report description and summary: –
Regional Analysis: –
Major regions covered in the report include North America, Asia Pacific, Europe, East & Africa, and South America. In addition, the report provides country level analysis for 25+ major countries including US, Germany, UK, Japan, China, India, UAE, South Korea, South Africa, and Brazil. Regional analysis provides regional as well as country level information about the market highlighting the dynamics of the market by various segments covered in the report.
Industry News and Updates:
In Jul 2017, Teradata announced the acquisition of StackIQ, a prominent developer of cloud analytics software, which has managed the deployment of cloud and analytics software at millions of servers in data centers around the world. The acquisition is expected to strengthen the R&D capabilities of the company. Further In Jun 2018, Microsoft signed a MoU with New Sales Wales to trial a major data science project based on procurement analytics.
Some of the key questions answered in this report:
Highlights of Global Marketing Analytics Market Report: –
MENAFN provides the information “as is” without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the provider above.
In a free-wheeling interview with IANS, Patel said that as organisations progress their hybrid and multi-cloud journeys, their focus will shift towards determining which workloads go where.
"Pick any private bank in India. It will have Office 365 delivered through Microsoft Azure Cloud. Then they have some applications like HR, payroll, CRM/ERP and other standard operations on AWS or Google Cloud or some other provider. To achieve synergies and efficiencies across operations, it will probably have a Private Cloud that covers treasury operations, etc. This collectively is the bank's Hybrid Cloud infrastructure," explained Patel.For Hybrid Cloud, "IBM has always been the leader," he added.
The company last year launched IBM Cloud Satellite to boost its Hybrid Cloud ambition in the country.
IBM Cloud Satellite is a unifying layer of cloud services, available across all locations, to offer businesses high levels of control over critical data delivered via IBM Cloud, regardless of where their data resides.
According to Patel, the Indian enterprises are evaluating the migration of more mission-critical, complex workloads as they embrace modernisation.
"In the year ahead, they will need to take inventory of their IT environments to select which workloads and applications are best suited for the cloud and which should remain on-premises," he emphasised.
IBM is working with Parle, the largest selling biscuit brand in India, to help it more quickly and effectively bring its products to market by leveraging IBM Cloud.
Bangalore International Airport Limited is working with the company and its spin-off Kyndryl to create a new "Airport in a Box" platform that will support transforming the end-to-end travel experience for passengers.
Patel said that on 5G, IBM is totally aligned with the government's vision.
Last week, IBM and Bharti Airtel partnered to deploy Airtel's edge computing platform in India, which will include 120 network data centres across 20 cities.Airtel's edge computing platform, deployed as a hybrid environment based on IBM Cloud Satellite and Red Hat OpenShift, extends secured and open cloud services wherever data resides.
"As enterprises in India increasingly work with hybrid infrastructure to meet evolving customer demands, workloads and applications, it will be imperative to leverage hybrid cloud investments, including edge computing capabilities. This requires the support of technology partners to provide flexible cloud solutions that extend across multiple sites and networks," said Patel.
For him, technology connects businesses, societies, communities, customers and people.
"This is going to be more relevant now in India's Techade. We are 100 per cent aligned to the Digital India mission and we are here to make it a reality. We are here to 'Make in India' for India and for the world," Patel told IANS.
IBM, one of the oldest tech companies, entered a new digital era in the pandemic in November 2021 with spinoff of its managed infrastructure business as a new entity called Kyndryl, for which India is a big growth market.
"The spinoff has given us a sharper focus to align our energies in a better and seamless way in India," said Patel.
A leading provider of Financial Performance Management solutions seeks a strong technical IBM Planning Analytics (TM1) Consultant/Developer to build TM1 cubes, dimensions and rules and setup ETL processes while also engaging with clients to understand their requirements. You will support the existing client base, as well as implement new solutions at new clients. The successful incumbent must at least have 1st-year tertiary level in Accounting and Information Systems or Computer Science. You will require 3+ years’ experience building TM1 models and dealt with clients, 2+ years’ experience & understanding of SQL fundamentals and able to write complex SQL queries and 2+ years’ Excel and VBA. You also need a strong understanding of the fundamentals of financial accounting, systems design and implementation.
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The comprehensive analyses of the most exact trends, growth prospects, and market growth drivers are offered to readers of the global market research reports. The COVID-19 effects on the Healthcare Analytics Market are also discussed in detail in the research, along with the market’s predicted compound annual growth rate (CAGR) from 2022 to 2030.
The research also provides a market analysis using various analytical techniques, including Porter’s Five Forces Analysis and PESTEL Analysis. These tools provide an in-depth analysis of the micro- and macro-environmental elements that influence the market’s expansion during the forecast period.
The exact research report published by Quadintel gives an insight into the global Healthcare Analytics Market. According to this published competitive intelligence analysis, the global Healthcare Analytics Market is expected to experience a promising annual revenue increase (USD in Mn) in 2021. A comprehensive overview and precise insights into possible future scenarios for the worldwide market are provided in this study.
Thehealthcare analytics marketwas valued at INR 19.85 Bn in 2020.It is expected to reach INR 87.26 Bn by 2026, expanding at a compound annual growth rate (CAGR) of ~28.74% during the 2021 2026 period.
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Some of thekey playersinclude domestic start-ups such asQure.ai, Niramai Health Analytix Pvt. Ltd., SigTuple Technologies Pvt. Ltd., and Tricog Health India Pvt. Ltd. Foreign private companies such as IBM India Pvt. Ltd. and Microsoft Corporation India Pvt. Ltd.also operate in the market.
A part of the digital healthcare system,healthcare analytics marketprovides enhanced health management services using IT and effective communication tools. It helps increase the efficiency of diagnosis and treatment. The growing demand for healthcare services on account of the COVID-19 pandemic drives the market.
Both indigenous and global companies develop analytical solutions for healthcare. The surge in adoption of these solutions propel market growth. The government, healthcare providers, and pharmaceutical companies are the major end users. Medical data analytics is expected to reduce the patient death rate by using focused tools for diagnosis and planning out proper treatment procedures.
Analytics use cases in healthcare:
Healthcare providers and pharmacies use analytics for various purposes such as training, research, and detection, diagnosis, and treatment of illness. These applications are carried out with the help of three types of analytics descriptive, predictive, and prescriptive. Descriptive analytics is used to determine contagious levels of COVID-19 by examining the rate of positive test results in a specific population.
COVID-19 impact analysis:
In the wake of the pandemic, healthcare providers, professionals, and researchers employ artificial intelligence (AI), machine learning, and natural language processing to track, contain, and gain a comprehensive understanding of COVID-19. AI is used to predict the severity of the disease and identify at-risk populations. It is also utilized for detecting body temperature, contact tracing, and further investigation through mobile-based applications to determine infection levels. Analytics also help in efficiently monitoring violations of COVID-19 protocols and enforcing social distancing. Data collected with the help of analytics from various sources assist in predicting future trends of disease spread and infection rate, understanding the existing situations, and making several medical decisions to control the pandemic.
North America garnered a substantial market share in theHealthcare AnalyticsMarket, due to growing demand forHealthcare AnalyticsMarketproducts, and rising disposable income, followed by Latin America, Europe, and the Middle East & Africa respectively.
Presently, the Asia Pacific region conquers theHealthcare AnalyticsMarket.
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List of Factors Covered in the Report are:
Geographical Breakdown:The regional section of the report analyses the market on the basis of region and national breakdowns, which includes size estimations, and accurate data on previous and future growth. It also mentions the effects and the estimated course of Covid-19 recovery for all geographical areas. The report gives the outlook of the emerging market trends and the factors driving the growth of the dominating region to deliver readers an outlook of prevailing trends and help in decision making.
Key inquiries addressed in the report:
Key Points Covered inthis Report
Chapter 1, About Executive Summary to describe Definition, Specifications and Classification of Wealth Management Software market, Applications, Market Segment by Regions North America, Europe or Asia.
Chapter 2, objective of the study.
Chapter 3, to display Research methodology and techniques.
Chapter 4 and 5, to show the Overall Market Analysis, segmentation analysis, characteristics;
Chapter 6 and 7, to show the Market size, share and forecast; Five forces analysis (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 8 and 9, to show analysis by regional segmentation, comparison, leading countries and opportunities; Regional Marketing Type Analysis, Supply Chain Analysis
Chapter 10, focus on identifying the key industry influencer's, overview of decision framework accumulated through Industry experts and strategic decision makers;
Chapter 11 and 12, Market Trend Analysis, Drivers, Challenges by consumer behaviour, Marketing Channels and demand & supply.
Chapter 13 and 14, describe about the vendor landscape (classification and Market Positioning)
Chapter 15, deals with Wealth Management SoftwareMarket sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
........ and view more in complete table of Contents
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