This document discusses data driven innovation and defines key concepts. It examines sources of data and supply/demand for datasets in Britain up to 2014. It explores how data and analytics can boost productivity by 5-10% and addresses privacy concerns. The document outlines four domains for data driven innovation, the government's role in systemic innovation, and how enterprises can use DDI for management innovation and developing new business models through value net creation, value chain integration, and product innovation. It proposes a DDI ecosystem model.
In this presentation, Sainath introduces the concept of IoT and associated trends.His interest lies in virtualization of patient care through IoT applications.
Big Data in Data-driven innovation: the impact in enterprises’ performancee-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: the impact in enterprises’ performance". Presentation at 11th Annual MIBES International Conference, 22nd of June - 24th of June 2016, Heraklion, Crete, Greece.
Presentation template: www.PresentationLoad.com
Presentation of Dr. Ioannis Kopanakis in Conference: "Press the innovation button: the role of Research and innovation in entrepreneurship".
Presentation template: www.PresentationLoad.com
In this presentation, Chandan introduces the topic of SMAC and associated trends. Chandan's interest area lies in deploying SMAC technology in the healthcare domain to help deliver efficient and time bound healthcare to patients.
The IBM Fellows program is a prestigious honor that has a direct correlation to the company's innovation and technology leadership. The honorees include a diverse group of IBMers with one thing in common: a commitment to tackling the world’s biggest problems with ingenuity, invention and inspiration. A common thread for many of this year’s inductees is their commitment to developing solutions and practical applications in the field of Big Data and Analytics. IBM is a leader in the space – with 1500 Big Data and Analytics-related patents in 2013 alone, and $24 billion in investments since 2005 through both acquisitions and R&D – and these fellows maintain the drumbeat of momentum that has made IBM number one in Big Data market share for the second year running.
Michael Haydock (IBM Distinguished Engineer, Partner, Chief Scientist - Business Analytics and Optimization) - From designing the most efficient way to butcher cattle stock, to creating an original dynamic pricing model for airline fares, to when in the planting cycle is the optimal time to spray weed killer on a soybean field, Mike has worked his magic with applied mathematical methods for a diverse set of clients across industries ranging from agriculture to aerospace. His brainchild—an analytics-based forecast of electronics and appliance sales in the United States—has become a staple of predicting holiday sales trends.
Learn more: http://www-03.ibm.com/press/us/en/pressrelease/43514.wss
Watch the video presentation: http://wp.me/p3RLEV-2ke
The Impact of digital technology on the lives of consumers and businesses aro...Mohamed Saleh
The digital transformation time has witnessed flourishing on the internet and social media practice globally. Accordingly, companies started to depend on digital marketing channels such as websites, social media platforms, blogs, and videos, etc. Also, companies’ dependence on digital marketing channels will grow significantly in the future to be able to reach the current and the prospective customers, as customers spend longer time online more than the traditional media such as TV, radio, and printed newspaper.
In this presentation, Sainath introduces the concept of IoT and associated trends.His interest lies in virtualization of patient care through IoT applications.
Big Data in Data-driven innovation: the impact in enterprises’ performancee-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: the impact in enterprises’ performance". Presentation at 11th Annual MIBES International Conference, 22nd of June - 24th of June 2016, Heraklion, Crete, Greece.
Presentation template: www.PresentationLoad.com
Presentation of Dr. Ioannis Kopanakis in Conference: "Press the innovation button: the role of Research and innovation in entrepreneurship".
Presentation template: www.PresentationLoad.com
In this presentation, Chandan introduces the topic of SMAC and associated trends. Chandan's interest area lies in deploying SMAC technology in the healthcare domain to help deliver efficient and time bound healthcare to patients.
The IBM Fellows program is a prestigious honor that has a direct correlation to the company's innovation and technology leadership. The honorees include a diverse group of IBMers with one thing in common: a commitment to tackling the world’s biggest problems with ingenuity, invention and inspiration. A common thread for many of this year’s inductees is their commitment to developing solutions and practical applications in the field of Big Data and Analytics. IBM is a leader in the space – with 1500 Big Data and Analytics-related patents in 2013 alone, and $24 billion in investments since 2005 through both acquisitions and R&D – and these fellows maintain the drumbeat of momentum that has made IBM number one in Big Data market share for the second year running.
Michael Haydock (IBM Distinguished Engineer, Partner, Chief Scientist - Business Analytics and Optimization) - From designing the most efficient way to butcher cattle stock, to creating an original dynamic pricing model for airline fares, to when in the planting cycle is the optimal time to spray weed killer on a soybean field, Mike has worked his magic with applied mathematical methods for a diverse set of clients across industries ranging from agriculture to aerospace. His brainchild—an analytics-based forecast of electronics and appliance sales in the United States—has become a staple of predicting holiday sales trends.
Learn more: http://www-03.ibm.com/press/us/en/pressrelease/43514.wss
Watch the video presentation: http://wp.me/p3RLEV-2ke
The Impact of digital technology on the lives of consumers and businesses aro...Mohamed Saleh
The digital transformation time has witnessed flourishing on the internet and social media practice globally. Accordingly, companies started to depend on digital marketing channels such as websites, social media platforms, blogs, and videos, etc. Also, companies’ dependence on digital marketing channels will grow significantly in the future to be able to reach the current and the prospective customers, as customers spend longer time online more than the traditional media such as TV, radio, and printed newspaper.
This presentation was presented at the 4th annual Virtual Worlds Best Practices in Education Conference (vwbpe.org) on March 19, 2011. The talk focused on where virtual worlds are headed over the next 6 years.
To be of value, big data must often flow across national borders from one country to another. Mandated local data storage of consumer as well as industrial data can restrict or prevent these data flows. This presentation examines restrictive data trade policies and the implications for companies and countries.
This keynote presentation discusses how the rise of the Internet of Things (IoT) is changing the nature of certain products by enabling them to build large ecosystems and complements that elevate them from the mundane to the strategic. This has important implication for energy and energy efficiency given broader forces that are reshaping the energy landscape, namely the rise of denser networks (physical, grids, pipelines, fiber, etc.), growth in digital information and the opportunity for new forms and power of analytics and the shift to platform business models that harness network effects by building large ecosystems and incentivizing complements that increase the value of the platforms. Linked to this is the rise of the API Economy, which is creating a new ways to exchange valuable information. In short, a new “energy data layer” is emerging with powerful implications for the future energy intelligence, productivity and efficiency.
Big Data in Data-driven innovation: applications, prospects and limitations ...e-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: Applications, Prospects and Limitations in Marketing".
Presentation at 4th International Conference on Contemporary Marketing Issues, 22-24 June 2016, Heraklion, Greece.
Presentation template: www.PresentationLoad.com
Analytics: The Real-world Use of Big DataDavid Pittman
UPDATE: Register now to participate in the 2013 survey: http://ibm.com/2013bigdatasurvey IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into organizations’ top business objectives, where they are in their big data journey, and how they are advancing their big data efforts. It also provides a pragmatic set of recommendations to organizations as they proceed down the path of big data. For additional information, including links to a podcast with one of the lead researchers and a link to download the full report, visit http://ibm.co/RB14V0
New technology trend opportunities and challengesSaeed Al Dhaheri
This presentation is part of another presentation titled "Roles of ICT in Real Life Scenarios" which was presented during the International Conference on Next Generation Computing & Communication Technologies 2014 in Dubai. The presentation address the opportunities and challenges of the new technology forces: Cloud, Mobile, Social Media and Information and their impact of the traditional role of the IT.
Bio-IT World Conference & Expo 2017 - Laboratory Informatics in the Fast LaneShooki Grasiani
In order to survive in a rapidly-evolving and competitive environment, organizations must accelerate innovation, adopt agile solutions and remove the barriers to innovation.
This presentation was presented at the 4th annual Virtual Worlds Best Practices in Education Conference (vwbpe.org) on March 19, 2011. The talk focused on where virtual worlds are headed over the next 6 years.
To be of value, big data must often flow across national borders from one country to another. Mandated local data storage of consumer as well as industrial data can restrict or prevent these data flows. This presentation examines restrictive data trade policies and the implications for companies and countries.
This keynote presentation discusses how the rise of the Internet of Things (IoT) is changing the nature of certain products by enabling them to build large ecosystems and complements that elevate them from the mundane to the strategic. This has important implication for energy and energy efficiency given broader forces that are reshaping the energy landscape, namely the rise of denser networks (physical, grids, pipelines, fiber, etc.), growth in digital information and the opportunity for new forms and power of analytics and the shift to platform business models that harness network effects by building large ecosystems and incentivizing complements that increase the value of the platforms. Linked to this is the rise of the API Economy, which is creating a new ways to exchange valuable information. In short, a new “energy data layer” is emerging with powerful implications for the future energy intelligence, productivity and efficiency.
Big Data in Data-driven innovation: applications, prospects and limitations ...e-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: Applications, Prospects and Limitations in Marketing".
Presentation at 4th International Conference on Contemporary Marketing Issues, 22-24 June 2016, Heraklion, Greece.
Presentation template: www.PresentationLoad.com
Analytics: The Real-world Use of Big DataDavid Pittman
UPDATE: Register now to participate in the 2013 survey: http://ibm.com/2013bigdatasurvey IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into organizations’ top business objectives, where they are in their big data journey, and how they are advancing their big data efforts. It also provides a pragmatic set of recommendations to organizations as they proceed down the path of big data. For additional information, including links to a podcast with one of the lead researchers and a link to download the full report, visit http://ibm.co/RB14V0
New technology trend opportunities and challengesSaeed Al Dhaheri
This presentation is part of another presentation titled "Roles of ICT in Real Life Scenarios" which was presented during the International Conference on Next Generation Computing & Communication Technologies 2014 in Dubai. The presentation address the opportunities and challenges of the new technology forces: Cloud, Mobile, Social Media and Information and their impact of the traditional role of the IT.
Bio-IT World Conference & Expo 2017 - Laboratory Informatics in the Fast LaneShooki Grasiani
In order to survive in a rapidly-evolving and competitive environment, organizations must accelerate innovation, adopt agile solutions and remove the barriers to innovation.
12Business Intelligence and Analytics Education, and Program.docxhyacinthshackley2629
12
Business Intelligence and Analytics Education, and Program
Development: A Unique Opportunity for the Information
Systems Discipline
ROGER H. L. CHIANG, University of Cincinnati
PAULO GOES, The University of Arizona
EDWARD A. STOHR, Stevens Institute of Technology
“Big Data,” huge volumes of data in both structured and unstructured forms generated by the Internet,
social media, and computerized transactions, is straining our technical capacity to manage it. More impor-
tantly, the new challenge is to develop the capability to understand and interpret the burgeoning volume of
data to take advantage of the opportunities it provides in many human endeavors, ranging from science to
business. Data Science, and in business schools, Business Intelligence and Analytics (BI&A) are emerging
disciplines that seek to address the demands of this new era. Big Data and BI&A present unique challenges
and opportunities not only for the research community, but also for Information Systems (IS) programs at
business schools. In this essay, we provide a brief overview of BI&A, speculate on the role of BI&A education
in business schools, present the challenges facing IS departments, and discuss the role of IS curricula and
program development, in delivering BI&A education. We contend that a new vision for the IS discipline
should address these challenges.
Categories and Subject Descriptors: H.2.8 [Database Management]: Database Applications—Data
mining; I.2.7 [Artificial Intelligence]: Natural Language Processing—Text analysis; K.3.2 [Computers
and Education]: Computer and Information Science Education—Information systems education
General Terms: Design
Additional Key Words and Phrases: Big data, business intelligence & analytics, data mining, data ware-
housing, text analytics
ACM Reference Format:
Chiang, R. H. L., Goes, P., and Stohr, E. A. 2012. Business intelligence and analytics education, and program
development: A unique opportunity for the information systems discipline. ACM Trans. Manage. Inf. Syst.
3, 3, Article 12 (October 2012), 13 pages.
DOI = 10.1145/2361256.2361257 http://doi.acm.org/10.1145/2361256.2361257
This work is an expanded version of the panel presented at the WITS 2011 conference.
Authorship order is based on the alphabetical order of the panelists’ last names.
Authors’ addresses: R. H. L. Chiang, Department of Operations, Business Analytics, and Information
Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221; email:
[email protected]; P. Goes, The University of Arizona, Salter Distinguished Professor of Information
Technology and Management, Head, Department of Management Information Systems, Eller College of
Management, The University of Arizona, Tucson, AZ 85721-0108; email: [email protected]; E. A.
Stohr, Stevens Institute of Technology, Co-Director, Center for Technology Management Research, Wes-
ley J. Howe School of Technology Management, Stevens Institute of Technology, Hoboken, NJ.
"SMEs in data-driven era: the role of data to firm performance" e-Bi Lab
Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis. "Big Data in Data-driven innovation: the impact in enterprises’ performance". Presentation at 9th Annual EUROMED ACADEMY OF BUSINESS (ΕΜΑΒ) CONFERENCE
"Innovation, Entrepreneurship and Digital Ecosystems", 14-16 September 2016, Warsaw, Poland.
This Presentation describes about the definition of Industry 4.0, how can industry 4.0 be occured in this era and what are steps?, relation between Energy Distribution and Industry 4.0, Smart Grid including AMI (Advanced Metering Infrastructure) summerized from all resources. Thankyou and i am sorry if there are many theory, statements and pictures which its sources are not included.
AI is Not Magic: It’s Time to Demystify and Apply Srinivasan Parthiban (VINGY...Dr. Haxel Consult
The term Artificial Intelligence was first coined in 1956 and since then the technology has progressed, disappointed, and re-emerged. Now the prediction is that AI will add $16 trillion to the global economy by 2030. AI is becoming as fundamental as electricity, the internet, and mobile as they were born into the mainstream. Not having an AI strategy in 2020 will be like not having a mobile strategy in 2010, or an Internet strategy in 2000. As a result of technology advancements, AI-related patent applications have surged over the recent years. The patent searchers, information professionals and bioinformatics researchers who have been involved in collecting data, organizing the data and analysing the data are starting to move up in the ladder with AI. Of course, AI can help you, your business, your employees, and your customers, but you need a prescriptive approach to harness its power and put AI to work. This presentation will take a glimpse under the hood of AI and look into some recent trends in data and analytics that are relevant to the information professionals.
Presentation given at the conference "open data for impact"
Erasmus+ project "Public Makers"
https://www.linkedin.com/posts/wide-luxembourg_opendata-publicmakers-activity-6818166878473596928-7ImU/
The Value of Data for Digital Business ModelsBoris Otto
This presentation outlines the challenges and opportunities of digitization and highlights the important role of data quality. The presentation uses a well-known business model conceptualization to illustrate successful digitization examples.
Data Scienceis an interdisciplinary field about processes and systems to extractknowledgeor insights fromdata, which is a continuation of some of the data analysis fields such as statistics,data mining, andpredictive analytics, similar toKnowledge Discovery in Databases(KDD).
مشتري بخش كاملي از زنجيره تأمين است.
شامل جابجايي كالا از تأمين كنندگان به سازندگان و توزيع كنندگان است. همچنين شامل جابجايي اطلاعات، پول و محصول در هر دو جهت است.
دقيق تر خواهد بود اگر از اصلاح ”شبكه تأمين“ يا ”وب تأمين“ استفاده شود.
يك زنجيره تأمين عموما شامل تأمين كنندگان، سازندگان، توزيع كنندگان، خرده فروشان و مشتريان است.
البته در برخي از موارد تمامي مراحل وجود ندارد.
از 1950 که رايانه در تحليل و ذخيره سازي داده ها مورد استفاده و بهره برداری قرار گرفت، تا سال 1970 حجم داده ها در پايگاه داده ها دو برابر گردید. با پیشرفت فن آوري اطلاعات هر سال 1990 هر دو سال يکبار حجم داده ها، دو برابر شد. (tan94)
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
کسب وکارها سالهاست که از داده در آمار و تحلیلهاي روند احتمالی استفاده میکنند تا تصمیمات صحیحتري گرفته شود و منابع
به وسیله آن تخصیص داده شوند. بنابراین استفاده از داده در تصمیمگیري جدید نیست، بلکه در دسترس قرار دادن داده به عموم،
توسعه پردازش داده و روندهاي تحلیلی و در نهایت خلق نوآوري در عصر اطلاعات امروز اتفاق افتاده است.
خیلی از افراد بین کلان داده و نوآوري داده محور دچار اشتباه میشوند. کلان داده بر اندازه و گوناگونی مجموعه داده تمرکز میکند. حتما محدوده داده نیست بلکه ارزش خلق شده از ایجاد نوآوري در پردازش داده و DDI در مقایسه با کلان داده، مهمترین جزءتحلیل آنها است.
بنابراین باید تاکید شود که اسم آن مشخص است DDIبه داده نیاز دارد اما اندازه و گوناگونی مجموعه داده پیش نیاز آن نیست. سازمانی که 5 کارمند دارد و دادههایی از فعالیتهایشان را در فایل اکسل ساده ذخیره میکنند نیز از مزایاي DDI لذت خواهند برد.
بنابراین افرادي که میدانند چگونه عاقلانه دادهها را استخراج کنند، از مزایاي اقتصادي و اجتماعی زیادي بهرهمند میشوند. حجم زیادي از تحولات دیجیتال دنیا در 2سال بیشتر از دو برابر شده است و داده به هرچیزي و هرکسی مرتبط است
مهم است بدانید اولین قدم به سمت، تغییر داده و سیستمها به شکل دیجیتال آن است
ذخیره داده بر سرورها، ابر یا ابزارهاي
ذخیره محلی براي خلق یک سیستمی که کاربرد دیجیتالی آن داده - منابع ارزشمندي براي کسب وکار، توسعهدهندگان و کارآفرینان-
فراهم میکند حیاتی است. ذخیره دیجیتالی داده توانایی کپی کردن، تحلیل، انتقال و ذخیره آن را تسهیل میکند. بنابراین تنها
شکل ۲: از داده تا نوآوری داده محور
دادههاي دیجیتالی پتانسیل فراهم آوردن دیدگاه نوآور و خلق توانمنديها و شکلدهی صنایع جدید را دارا هستند. در نهایت بعد از
آن دیجیتالی شدن فرآیندهاي کاري، به دلیل اعتماد و دقت در فرآیند جمعآوري داده ضروري است.
مطالعهاي2
در سال 2013 در رابطه با دسترسی به دادههاي باز نشان داده است که این دسترسی 3میلیارد دلار ارزش اضافی در اقتصاد جهانی
تولید میکند.
دادهها شاهراه نوآوري در قرن 21ام هستند،
زمانهایی وجود دارد که استفاده نوآور از داده در مقیاس زیاد است که به محصول یا خدمت کاملا جدیدي منجر میشود. ویز3 موضوع مورد بحث است.
فرآیند، محصول یا خدمتی که شناخته شده اما براي سازمان جدید است نیز میتواند نوآوري داده محور در نظر گرفته میشود
مطالعات اقتصادي انجام شده از سال 1950 نشان داده که افزایش ورودي تولیدات نشان دهنده رشد اقتصادي نیست، بلکه محرك
اصلی آن افزایش ارزش خلق شده از منابع موجود است. به عبارت دیگر، افزایش خروجی نتیجه بهبود فرآیندها و فناوري تولیدي
است.
Oecd اعلام کرد ddiتوانسته است بهره وري سازمانی را 5 تا 10درصد بهبود دهد.
For many years most GE revenues were based on the sale of engines to leading aircraft manufacturers as
well as maintenance and repair services. In 2011, following increased competition from software companies,
GE launched the “industrial internet” that includes installation of advanced digital sensors that collect data
on engine performance, and the development of advanced analytics capabilities. Analysis of collected data
enabled the company to develop innovative products and to change its business model from product sale
to performance based. The gaining momentum of the Internet of Things is ushering in the DDI era. As more
“things” become connected more data can be collected and optimization and analyses can be conducted,
leading to new business models, improved finances and productivity growth.
ارتقا محصولات و داده محور کردن انها :
1-مدیریت سلامت موتورهاي رولز رویس سنسورهاي تعبیه شده را براي نظارت و ثبت پارامترهاي موتور هواپیما مانند
فشار، دما، ارتفاع و ارتعاش استفاده میکند.
2-به طور مشابه پروژهي نمایش شبکههاي هوشمند در شمال غربی اقیانوس آرام مترهاي
هوشمندي را در 60000 خانه معرفی کردهاند. این مترهاي هوشمند به مشتري این قابلیت را میدهند که براي چگونگی و زمان
استفاده از برق انتخابهاي درستی بگیرند، در حالی که به شرکتهاي ارائه دهنده امکان کنترل بهتر مصرف برق را در اوج زمان
مصرف با خاموش کردن مستقیم وسایل آنها میدهد
3-یک اپلیکیشن جهت یابی و ترافیک، امکان اطلاع از ترافیک در آن واحد و اطلاعات نقشه جهت رد و بدل شدن میان کاربران Wazeمتصل براي بهبود رفت و آمد روزانه است. میزان داده زمانی که مشارکت یک کاربر از طریق ارتباط موبایلی افزایش مییابد، بیشتر میشود که باعت بهبود کیفیت داده و بهبود تجربه مشتري از طریق یک ترافیک و راهیابی بینظیر شود
دیجیتالی کردن داده ها :
1- فروشگاههاي خرده فروشی هومپلاس 7 در کره نیز مغازههاي مجازي را در فضاي فیزیکی مثل مترو ایجاد کردهاند. با تلفنهاي همراه،
هر فرد میتواند اقلام موجود در قفسههاي سوپر مارکتی که در بیلبورد نشان داده را اسکن کند و کالاي واقعی را دو ساعت بعد درب
منزل خود دریافت کند
دیجیتالی کردن داده ها
بیمارستان پکینگ،6 در حال دیجیتالی کردن پروندههاي پزشکی و دخیل کردن تله مدیسین است که منجر به
تقویت ارتباطات موبایلی و هشدارهاي در آن واحد میشود. هدف نهایی این کار نظارت بر علائم حیاتی بیمار در آن واحد براي
افزایش راندمان پاسخگویی است
