In this Whitepaper Dennis Curry explores the impact of the Internet of Things on the corporate environment, highlighting the importance of building intuitive associations in disparate and highly complex data.
This webinar presentation discusses digital transformation and how companies can adapt to changing consumer expectations and behaviors in the digital age. The presentation defines digital transformation as realigning technology and business models to engage customers at every touchpoint. It discusses how mapping customer journeys can reveal how consumer habits now outpace organizations. The presentation also addresses common inhibitors to change and recommends forming cross-functional digital teams with clear roles and direct executive support to drive transformation initiatives.
Digital Engineering: Combining Computer Science with Social Science to Transl...Cognizant
By digging deep to understand consumer behaviors, needs and wants, organizations can build systems that not only meet essential user needs but also uncover new business opportunities and anticipate future requirements.
Data science provides businesses with advanced tools and technologies that allow them to automate complicated business processes linked with extracting, analyzing, and presenting raw data.
With so much happening in the technical field, and the data being generated at a rapid speed, it is crucial to know about the latest as well as the upcoming trends in data science.
Process oriented architecture for digital transformation 2015Vinay Mummigatti
How the digitally savvy enterprises need to transform their business processes - A paper on architecture and patterns for business and technology audience.
The document summarizes key topics that will be covered at the Capital Network's FastTrack Boot Camp on June 16, 2010. The boot camp will provide training on raising capital from various sources like friends, family, angels, and venture capitalists. It will cover creating business models and financing plans, dilution impacts of early investments, pitching to investors, and negotiating term sheets and valuations. The goal is to help entrepreneurs navigate the capital markets and financing process for their companies and ideas. The agenda outlines the schedule, including keynote speeches, breakout sessions, mentor matching, and a networking reception.
The 4 Biggest Trends In Big Data and Analytics Right For 2021Bernard Marr
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality.
Better Community Connections Through Big Data and AnalyticsSAP Analytics
http://spr.ly/AA_PublicSector - With in-memory computing and analytics tools, the City of Boston is providing better service to citizens and engaging more with the community.
-Bloomberg Businessweek Research
In this Whitepaper Dennis Curry explores the impact of the Internet of Things on the corporate environment, highlighting the importance of building intuitive associations in disparate and highly complex data.
This webinar presentation discusses digital transformation and how companies can adapt to changing consumer expectations and behaviors in the digital age. The presentation defines digital transformation as realigning technology and business models to engage customers at every touchpoint. It discusses how mapping customer journeys can reveal how consumer habits now outpace organizations. The presentation also addresses common inhibitors to change and recommends forming cross-functional digital teams with clear roles and direct executive support to drive transformation initiatives.
Digital Engineering: Combining Computer Science with Social Science to Transl...Cognizant
By digging deep to understand consumer behaviors, needs and wants, organizations can build systems that not only meet essential user needs but also uncover new business opportunities and anticipate future requirements.
Data science provides businesses with advanced tools and technologies that allow them to automate complicated business processes linked with extracting, analyzing, and presenting raw data.
With so much happening in the technical field, and the data being generated at a rapid speed, it is crucial to know about the latest as well as the upcoming trends in data science.
Process oriented architecture for digital transformation 2015Vinay Mummigatti
How the digitally savvy enterprises need to transform their business processes - A paper on architecture and patterns for business and technology audience.
The document summarizes key topics that will be covered at the Capital Network's FastTrack Boot Camp on June 16, 2010. The boot camp will provide training on raising capital from various sources like friends, family, angels, and venture capitalists. It will cover creating business models and financing plans, dilution impacts of early investments, pitching to investors, and negotiating term sheets and valuations. The goal is to help entrepreneurs navigate the capital markets and financing process for their companies and ideas. The agenda outlines the schedule, including keynote speeches, breakout sessions, mentor matching, and a networking reception.
The 4 Biggest Trends In Big Data and Analytics Right For 2021Bernard Marr
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality.
Better Community Connections Through Big Data and AnalyticsSAP Analytics
http://spr.ly/AA_PublicSector - With in-memory computing and analytics tools, the City of Boston is providing better service to citizens and engaging more with the community.
-Bloomberg Businessweek Research
Billions of computers that can sense and communicate from anywhere are coming online. What will it mean for business?
MIT TECHNOLOGY REVIEW
JULY/AUGUST 2014
This document summarizes an article about artificial intelligence from The Smart Manager magazine. It discusses:
1) How AI is becoming more advanced through machine learning, computer vision, speech recognition, and natural language processing. These technologies are being applied in many industries like banking, insurance, retail, and IT.
2) Examples of how AI is being used, such as chatbots, image recognition for online shopping, and data analysis tools that generate reports. Sectors like marketing, customer service, and recruiting are utilizing AI.
3) That organizations must adapt to technological changes and adopt AI in order to stay relevant and not become obsolete as AI capabilities continue to rapidly improve.
The document provides an overview of digital marketing and e-commerce trends. It discusses key concepts such as digital marketing, types of e-commerce like business-to-business and business-to-consumer, the growth of mobile commerce, and social media marketing platforms like Facebook and Twitter. Examples of typical marketing campaigns on Facebook and Twitter are also summarized.
Smart Systems and The Future of Smart Products_ Group 4_FinalPaper (1)Michael Hanacek
This document provides an overview of smart systems and the future of smart products. It begins with defining what constitutes a smart system, including smart cities, infrastructure, homes, products, and sensors. It then reviews literature related to the internet of things, smart cities, infrastructure, homes, products, and sensors. Several case studies are examined, including smart grids and smart classrooms, to analyze what makes an efficient smart system. The findings imply that companies will become more innovative in creating integrated networks of smart, connected products to guide new product development.
Competing In The Information Era: A Smarter Approach to Smart GridsPeerasak C.
This document discusses the evolution of smart grids from the infrastructure era to the information era. It outlines the potential benefits of smart grids, including enabling utilities to manage demand response and allowing third parties to develop solutions using smart grid infrastructure. It argues that Oracle is well-positioned to provide end-to-end smart grid solutions as smart grids require secure, flexible IT systems to realize their promise of giving consumers more control over energy consumption.
The Value of Signal (and the Cost of Noise): The New Economics of Meaning-MakingCognizant
It’s a new era in business, in which growth will be driven by finding meaning and insights in data. Recent research demonstrates what separates winners from losers and how to rise to the top as a "meaning maker."
Internet of things presentation rick bouter - 16-09-2013 - sogeti - Part 1 ...Rick Bouter
The document discusses the Internet of Things (IoT), which connects physical objects through embedded technology to collect and exchange data and interact with both internal states and the external environment. While the concept was proposed as early as the 1920s, it is now gaining popularity due to several factors, including advancements in research, business needs to simplify processes, reduce costs and risks, and increase efficiency. The document argues that individual "things" are not truly smart on their own but can contribute to collective intelligence when connected through IoT.
Dwatches just to check time and date, as they
were supposed to perform that task only. Now
the arrival of smart watches has drastically changed
the scenario. Humans can now check their heartbeat
rate, calorie count, steps walked, and what not,
through their smart watches.
Smart Systems and Internet of Things ManifestoHarbor Research
The document presents a manifesto for a new approach to smart connected systems and the internet of things. It argues that current IT models and practices are outdated and not suitable for a world where everyday objects communicate and interact over networks. The manifesto calls for universal standards for connectivity, new information architectures that can integrate real-time device data, and automated tools for developing smart systems that can scale to include trillions of connected things. By leveraging collective intelligence across networks of interconnected systems and people, the internet of things has the potential to transform civilization, but a new approach that moves beyond incremental changes is needed.
The document discusses the top 10 technology trends driving the 4th Industrial Revolution according to Bernard Marr. The trends are: 1) artificial intelligence and machine learning, 2) the internet of things, 3) big data, 4) blockchains, 5) cloud and edge computing, 6) robots and cobots, 7) autonomous vehicles, 8) the 5G network, 9) genomics and gene editing, and 10) quantum computing. Marr believes these technologies will transform our lives and the world in the next decade.
Mobile BYOD allows employees to use their own devices for work, increasing productivity and making organizations more attractive. Augmented reality overlays digital information on the real world, changing interactions. Cloud services provide computing power and applications via an economic pay-per-use model, improving agility and quality of service.
By applying wireless sensor technology to humanitarian issues, social enterprises can help address global development challenges and replicate solutions across many issues. However, inadequate human and technical capacity as well as barriers to consumer adoption limit the use of wireless sensor networks in social enterprises. Ultimately, a lack of investment is the biggest barrier to using big data and wireless sensor technologies to help social enterprises and developing nations.
Big data and wireless sensor technologies can help social enterprises address global development challenges by providing real-time information. However, barriers like inadequate technical capacity and high sensor costs limit their adoption. Creating easy-to-use systems and lowering costs is needed to realize big data's potential to empower social enterprises and improve lives in the developing world.
Why is AI so uncomfortable - A therapy sessionKye Andersson
Keynote from Wonderland AI Summit, focusing on why it is so hard to truly embrace AI for leaders, organizations and states. To go beyond using AI simply for a little extra efficiency, and actually dare to let AI give you new insights - which will require you to let go of the old way of doing things, and change.
Digital Innovation - A framework of ImpactsMalcolm Ryder
Digital modes of IT-driven change are so varied that it is difficult to understand what an "enterprise" approach to coherent transformation is really based on. Researchers such as Archestra and Ventana offer a way to see the forest through the trees.
Software Development: The Top 10 Trends Of 2020 and BeyondTechGuru17
Tough or not, to see what lies ahead in the software development environment, we look deep into the new year. It is time for organizations to catch a glimpse of the vision for where software R&D practitioners are bringing technology with 2019 on the books and 2020 kicking off. Here are ten developments in software development that we expect will take over the industry in 2020. Stick until the end and know more about the big Software development trends of 2020 and beyond.
"Data Science is highly resourceful when it comes to an understanding of the public and their decisions for service providers' products and services. The top 8 exciting trends that our world will be able to see in Data Science in the coming year of 2021 are discussed here. "
AI in Business - Key drivers and future valueAPPANION
Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.
Un estudio reportado por la Harvard Business Review muestra las tres estrategias encontradas para explotar totalmente las capacidades de Big Data y Analytics en una organización, estas son: 1) identificar, combinar y manejar múltiples fuentes de datos. 2) Construir modelos analíticos avanzados para predecir y optimizar resultados. 3) Transformar las capacidades de la organización de tal forma que los datos utilizados y el análisis de los mismos lleven a tomar mejores decisiones. El modelo de Cloud computing sirve para cada uno de las capacidades anteriormente mencionadas.
This document provides an overview of social innovation and the potential of connecting devices and sensors to create smarter infrastructure and applications. It discusses how analyzing data from billions of connected devices can help address problems like traffic congestion, public safety and health. Key points include how data platforms and analytics can provide insights to improve systems like transportation, energy and healthcare. The document also discusses smart city initiatives and how a focus on applications built on top of connected infrastructure can generate value.
From hype to action getting what's needed from big data agwdeodhar
The document discusses the challenges companies face in realizing value from big data analytics. While big data holds potential for competitive advantage, most companies still struggle with managing vast amounts of data from various sources and finding ways to gain useful insights. Early adopters have found success, but full adoption of big data analytics remains limited due to challenges like lack of skills and understanding how insights can impact organizations. The document argues that in order to benefit, companies need solutions that easily manage the entire data workflow and provide insights to business users in a self-service manner.
From Hype to Action-Getting What's Needed from Big Data Agwdeodhar
The document discusses the challenges companies face in realizing value from big data analytics. While big data holds potential for competitive advantage, most companies still struggle with managing vast amounts of data from various sources and finding ways to gain useful insights. Early adopters have found success, but full adoption of big data analytics remains limited due to challenges like lack of skills and siloed efforts. For big data analytics to become mainstream, companies need help managing the entire data pipeline workflow and delivering insights to business users effectively.
Billions of computers that can sense and communicate from anywhere are coming online. What will it mean for business?
MIT TECHNOLOGY REVIEW
JULY/AUGUST 2014
This document summarizes an article about artificial intelligence from The Smart Manager magazine. It discusses:
1) How AI is becoming more advanced through machine learning, computer vision, speech recognition, and natural language processing. These technologies are being applied in many industries like banking, insurance, retail, and IT.
2) Examples of how AI is being used, such as chatbots, image recognition for online shopping, and data analysis tools that generate reports. Sectors like marketing, customer service, and recruiting are utilizing AI.
3) That organizations must adapt to technological changes and adopt AI in order to stay relevant and not become obsolete as AI capabilities continue to rapidly improve.
The document provides an overview of digital marketing and e-commerce trends. It discusses key concepts such as digital marketing, types of e-commerce like business-to-business and business-to-consumer, the growth of mobile commerce, and social media marketing platforms like Facebook and Twitter. Examples of typical marketing campaigns on Facebook and Twitter are also summarized.
Smart Systems and The Future of Smart Products_ Group 4_FinalPaper (1)Michael Hanacek
This document provides an overview of smart systems and the future of smart products. It begins with defining what constitutes a smart system, including smart cities, infrastructure, homes, products, and sensors. It then reviews literature related to the internet of things, smart cities, infrastructure, homes, products, and sensors. Several case studies are examined, including smart grids and smart classrooms, to analyze what makes an efficient smart system. The findings imply that companies will become more innovative in creating integrated networks of smart, connected products to guide new product development.
Competing In The Information Era: A Smarter Approach to Smart GridsPeerasak C.
This document discusses the evolution of smart grids from the infrastructure era to the information era. It outlines the potential benefits of smart grids, including enabling utilities to manage demand response and allowing third parties to develop solutions using smart grid infrastructure. It argues that Oracle is well-positioned to provide end-to-end smart grid solutions as smart grids require secure, flexible IT systems to realize their promise of giving consumers more control over energy consumption.
The Value of Signal (and the Cost of Noise): The New Economics of Meaning-MakingCognizant
It’s a new era in business, in which growth will be driven by finding meaning and insights in data. Recent research demonstrates what separates winners from losers and how to rise to the top as a "meaning maker."
Internet of things presentation rick bouter - 16-09-2013 - sogeti - Part 1 ...Rick Bouter
The document discusses the Internet of Things (IoT), which connects physical objects through embedded technology to collect and exchange data and interact with both internal states and the external environment. While the concept was proposed as early as the 1920s, it is now gaining popularity due to several factors, including advancements in research, business needs to simplify processes, reduce costs and risks, and increase efficiency. The document argues that individual "things" are not truly smart on their own but can contribute to collective intelligence when connected through IoT.
Dwatches just to check time and date, as they
were supposed to perform that task only. Now
the arrival of smart watches has drastically changed
the scenario. Humans can now check their heartbeat
rate, calorie count, steps walked, and what not,
through their smart watches.
Smart Systems and Internet of Things ManifestoHarbor Research
The document presents a manifesto for a new approach to smart connected systems and the internet of things. It argues that current IT models and practices are outdated and not suitable for a world where everyday objects communicate and interact over networks. The manifesto calls for universal standards for connectivity, new information architectures that can integrate real-time device data, and automated tools for developing smart systems that can scale to include trillions of connected things. By leveraging collective intelligence across networks of interconnected systems and people, the internet of things has the potential to transform civilization, but a new approach that moves beyond incremental changes is needed.
The document discusses the top 10 technology trends driving the 4th Industrial Revolution according to Bernard Marr. The trends are: 1) artificial intelligence and machine learning, 2) the internet of things, 3) big data, 4) blockchains, 5) cloud and edge computing, 6) robots and cobots, 7) autonomous vehicles, 8) the 5G network, 9) genomics and gene editing, and 10) quantum computing. Marr believes these technologies will transform our lives and the world in the next decade.
Mobile BYOD allows employees to use their own devices for work, increasing productivity and making organizations more attractive. Augmented reality overlays digital information on the real world, changing interactions. Cloud services provide computing power and applications via an economic pay-per-use model, improving agility and quality of service.
By applying wireless sensor technology to humanitarian issues, social enterprises can help address global development challenges and replicate solutions across many issues. However, inadequate human and technical capacity as well as barriers to consumer adoption limit the use of wireless sensor networks in social enterprises. Ultimately, a lack of investment is the biggest barrier to using big data and wireless sensor technologies to help social enterprises and developing nations.
Big data and wireless sensor technologies can help social enterprises address global development challenges by providing real-time information. However, barriers like inadequate technical capacity and high sensor costs limit their adoption. Creating easy-to-use systems and lowering costs is needed to realize big data's potential to empower social enterprises and improve lives in the developing world.
Why is AI so uncomfortable - A therapy sessionKye Andersson
Keynote from Wonderland AI Summit, focusing on why it is so hard to truly embrace AI for leaders, organizations and states. To go beyond using AI simply for a little extra efficiency, and actually dare to let AI give you new insights - which will require you to let go of the old way of doing things, and change.
Digital Innovation - A framework of ImpactsMalcolm Ryder
Digital modes of IT-driven change are so varied that it is difficult to understand what an "enterprise" approach to coherent transformation is really based on. Researchers such as Archestra and Ventana offer a way to see the forest through the trees.
Software Development: The Top 10 Trends Of 2020 and BeyondTechGuru17
Tough or not, to see what lies ahead in the software development environment, we look deep into the new year. It is time for organizations to catch a glimpse of the vision for where software R&D practitioners are bringing technology with 2019 on the books and 2020 kicking off. Here are ten developments in software development that we expect will take over the industry in 2020. Stick until the end and know more about the big Software development trends of 2020 and beyond.
"Data Science is highly resourceful when it comes to an understanding of the public and their decisions for service providers' products and services. The top 8 exciting trends that our world will be able to see in Data Science in the coming year of 2021 are discussed here. "
AI in Business - Key drivers and future valueAPPANION
Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.
Un estudio reportado por la Harvard Business Review muestra las tres estrategias encontradas para explotar totalmente las capacidades de Big Data y Analytics en una organización, estas son: 1) identificar, combinar y manejar múltiples fuentes de datos. 2) Construir modelos analíticos avanzados para predecir y optimizar resultados. 3) Transformar las capacidades de la organización de tal forma que los datos utilizados y el análisis de los mismos lleven a tomar mejores decisiones. El modelo de Cloud computing sirve para cada uno de las capacidades anteriormente mencionadas.
This document provides an overview of social innovation and the potential of connecting devices and sensors to create smarter infrastructure and applications. It discusses how analyzing data from billions of connected devices can help address problems like traffic congestion, public safety and health. Key points include how data platforms and analytics can provide insights to improve systems like transportation, energy and healthcare. The document also discusses smart city initiatives and how a focus on applications built on top of connected infrastructure can generate value.
From hype to action getting what's needed from big data agwdeodhar
The document discusses the challenges companies face in realizing value from big data analytics. While big data holds potential for competitive advantage, most companies still struggle with managing vast amounts of data from various sources and finding ways to gain useful insights. Early adopters have found success, but full adoption of big data analytics remains limited due to challenges like lack of skills and understanding how insights can impact organizations. The document argues that in order to benefit, companies need solutions that easily manage the entire data workflow and provide insights to business users in a self-service manner.
From Hype to Action-Getting What's Needed from Big Data Agwdeodhar
The document discusses the challenges companies face in realizing value from big data analytics. While big data holds potential for competitive advantage, most companies still struggle with managing vast amounts of data from various sources and finding ways to gain useful insights. Early adopters have found success, but full adoption of big data analytics remains limited due to challenges like lack of skills and siloed efforts. For big data analytics to become mainstream, companies need help managing the entire data pipeline workflow and delivering insights to business users effectively.
Digital transformation starts with your employees. Does your workplace culture empower everyone in your organization to transform and grow the business? A digital workplace can change how your people work and influence your business. Microsoft Services solutions can help you drive leadership, sponsorship, coaching, motivation, training, business insights, and reinforcement practices.
The document discusses the evolution of industrial revolutions from the 18th century to today. The first revolution involved steam power and mechanization, the second brought electricity and mass production, and the third focused on electronics and information technology. Now a fourth industrial revolution is underway, characterized by unprecedented processing power, data storage, and the merging of physical and digital worlds through technologies like the Internet of Things. This digital transformation requires companies to embrace new technologies to increase efficiency and shape their future.
The global business trends involve Machine Learning, AI, end-to-end digitalization, sustainable development, Data Security, and EV with sales increasing by 85%
The document discusses how the rise of the Internet of Things will require organizations to adapt their corporate structures and executive roles. As IoT connects more devices and generates unprecedented data, executives must work together across functions like operations, technology, information, marketing and human resources. The CEO must recognize opportunities in big data while the CIO manages vast information flows. As privacy and security challenges emerge, the CSO and CLO must collaborate to ensure compliance. Overall, success in the IoT era will depend on innovation through interdependent relationships between C-level executives.
top 10 Digital transformation Technologies in 2022.docxAdvance Tech
It's no secret that the world is becoming more and more digitized every day. With technology advancing at breakneck speeds, it's hard to keep up with all the new changes and how they might impact our lives - both personally and professionally.
In this article, we'll take a look at 10 digital transformation technologies that are set to change the game in 2022 and beyond.
https://advancetech.info/digital-transformation-technologies/
This document discusses how cognitive computing can help realize the full potential of the Internet of Things (IoT). It notes that while early IoT applications are providing value, the vast majority of data generated by IoT devices is currently unused. Cognitive systems that can learn from large amounts of structured and unstructured data have the potential to extract much more insights from IoT data and enable more advanced IoT applications. The document outlines some key foundations for a successful IoT strategy and argues that cognitive systems like IBM's Watson platform can help address the data challenges of IoT by facilitating deeper human engagement, continuous learning, predictive capabilities, knowledge sharing and optimization of complex systems.
Augmented intelligence in banking and capital marketsMitchell Feldman
This document discusses how AI can help address paradoxes in the financial services industry:
1) Increasing customer engagement without increasing costs by using bots and AI assistants to handle common customer issues, freeing up employees for more complex tasks. This improves customer experience while reducing costs.
2) Making every interaction personal, relevant, and compliant at scale. AI tools can provide a 360-degree view of customers, understand sentiment, and suggest personalized offers. AI also helps ensure compliance across interactions.
3) Investing in new markets and business models with less risk. AI can streamline processes like fraud prevention and managing non-performing loans to enter new markets more confidently with less risk.
The document discusses how AI, through technologies like machine learning and deep learning, can augment human capabilities by performing repetitive tasks and organizing information to free up human time and creativity. It describes Microsoft's focus on developing AI that empowers organizations and solves societal problems. Key applications of AI in banking discussed are providing personalized customer experiences across channels at scale while maintaining security, privacy and compliance. The challenges of meeting rising customer expectations, competing with new entrants and rebuilding trust after the financial crisis are also summarized.
Future Trends of AI and Analytics in the CloudBernard Marr
Artificial intelligence (AI) has the potential to be the most powerful and transformative technology the business world has ever seen, helping us make smarter decisions, automate tasks and fully realize the value of the data businesses are generating at an ever-growing rate.
This document provides an introduction to cognitive solutions and how they are enhancing the way businesses operate. It discusses how cognitive solutions like IBM's Watson are able to learn from data to gain insights and understand information in a way that was previously not possible. The document highlights several ways that cognitive solutions are already being used by businesses, from aiding decision making to retaining expertise to providing predictive analytics. It also provides examples of how cognitive solutions can benefit both small and large businesses.
Cognitive solutions are enhancing how we live and work by providing practical ways to understand large amounts of data. While cognitive computing may seem complex, cognitive solutions can actually provide simple ways to clarify big data in a way that benefits both individuals and businesses. For example, cognitive capabilities are revolutionizing how we process personal data from devices and sensors by transforming unstructured data like language, images and sounds into useful information through application programming interfaces (APIs). This allows systems to better understand human activities and behavior over time through machine learning.
This document provides an introduction to cognitive solutions and how they are enhancing the way we live and work. It discusses how cognitive solutions like IBM's Watson are transforming industries by allowing more effective processing and understanding of data, including types of data like natural language, images and sound. The document includes examples of how cognitive solutions are being applied in areas like personal health, education toys, and how they can provide benefits to small and large businesses through expertise retention, agility and insights.
This document provides an introduction to cognitive solutions and how they are enhancing the way businesses operate. It discusses how cognitive solutions like IBM's Watson are able to learn from data to gain insights and understand information in a way that was previously not possible. The document highlights several ways that cognitive solutions are already being used by businesses, from aiding decision making to retaining expertise to providing predictive analytics. It also provides examples of how cognitive solutions can benefit both small and large businesses.
Cognitive solutions are enhancing how we live and work by making more data useful and actionable. With 2.5 quintillion bytes of new data created daily, cognitive solutions can help unlock value from the 80% of data that is currently unseen and unused. Technologies like IBM's Watson are using advanced natural language processing, computer vision and other APIs to transform unstructured data like speech, images and text into insights. Early applications include Under Armour's UA Record fitness app, which uses cognitive abilities to provide personalized coaching and recommendations based on a user's specific goals, behaviors and environment.
How cognitive solutions are enhancing the way we live and work. What are cognitive solutions? What can cognitive bring to your business? Find out here!
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Financial Assets: Debit vs Equity Securities.pptxWrito-Finance
financial assets represent claim for future benefit or cash. Financial assets are formed by establishing contracts between participants. These financial assets are used for collection of huge amounts of money for business purposes.
Two major Types: Debt Securities and Equity Securities.
Debt Securities are Also known as fixed-income securities or instruments. The type of assets is formed by establishing contracts between investor and issuer of the asset.
• The first type of Debit securities is BONDS. Bonds are issued by corporations and government (both local and national government).
• The second important type of Debit security is NOTES. Apart from similarities associated with notes and bonds, notes have shorter term maturity.
• The 3rd important type of Debit security is TRESURY BILLS. These securities have short-term ranging from three months, six months, and one year. Issuer of such securities are governments.
• Above discussed debit securities are mostly issued by governments and corporations. CERTIFICATE OF DEPOSITS CDs are issued by Banks and Financial Institutions. Risk factor associated with CDs gets reduced when issued by reputable institutions or Banks.
Following are the risk attached with debt securities: Credit risk, interest rate risk and currency risk
There are no fixed maturity dates in such securities, and asset’s value is determined by company’s performance. There are two major types of equity securities: common stock and preferred stock.
Common Stock: These are simple equity securities and bear no complexities which the preferred stock bears. Holders of such securities or instrument have the voting rights when it comes to select the company’s board of director or the business decisions to be made.
Preferred Stock: Preferred stocks are sometime referred to as hybrid securities, because it contains elements of both debit security and equity security. Preferred stock confers ownership rights to security holder that is why it is equity instrument
<a href="https://www.writofinance.com/equity-securities-features-types-risk/" >Equity securities </a> as a whole is used for capital funding for companies. Companies have multiple expenses to cover. Potential growth of company is required in competitive market. So, these securities are used for capital generation, and then uses it for company’s growth.
Concluding remarks
Both are employed in business. Businesses are often established through debit securities, then what is the need for equity securities. Companies have to cover multiple expenses and expansion of business. They can also use equity instruments for repayment of debits. So, there are multiple uses for securities. As an investor, you need tools for analysis. Investment decisions are made by carefully analyzing the market. For better analysis of the stock market, investors often employ financial analysis of companies.
Independent Study - College of Wooster Research (2023-2024) FDI, Culture, Glo...AntoniaOwensDetwiler
"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
My study abroad in Bali, Indonesia, inspired this research topic as I noticed how globalization is changing the culture of its people. I learned their language and way of life which helped me understand the beauty and importance of cultural preservation. I believe we could all benefit from learning new perspectives as they could help us ideate solutions to contemporary issues and empathize with others.
OJP data from firms like Vicinity Jobs have emerged as a complement to traditional sources of labour demand data, such as the Job Vacancy and Wages Survey (JVWS). Ibrahim Abuallail, PhD Candidate, University of Ottawa, presented research relating to bias in OJPs and a proposed approach to effectively adjust OJP data to complement existing official data (such as from the JVWS) and improve the measurement of labour demand.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
1. 4
Corporate identity in the digital era
#9 JANUARY 2017
HOWCANCORPORATES
DIFFERENTIATETOCREATE
COMPETITIVEADVANTAGE
INTHEDIGITALERA?
By Bharat BHUSHAN, Industry Technical Leader for Banking
and Financial Markets at IBM UK
2. 5
Over 60 years the Information Technology (IT) industry
has transformed organisations by automating tasks.
Starting with simple mathematical operations, IT has
now evolved to highly complex algorithms that, for
example, can compute and predict national demand
for utility consumption every few minutes. One by-
product of this automation is the creation of digital
data. What we do with this will be the story of the
IT industry in the future. This ability to use data
to model and ultimately predict any aspect of our
work and daily life promises to fuel the next era of
innovation.
The internet and its adoption have also changed the
world in a way that was not obvious twenty years
ago. It didn’t just create a network of computers, it
connected people from across the globe. Collaboration
became easier and accelerated the development of
ideas and new technologies within and across sectors.
Just in the last ten years, we have seen a sea-change
in how technology is embedded in our everyday lives.
It now seems natural and acceptable that your fridge
can automatically place orders to replenish the exact
groceries you have used and that your running shoes
can generate data to give you a real-time view of
your performance – and even gamify this experience
by competing with a friend who may be living
5,000 miles away.
All of this is possible through data; we are all consuming
and generating enormous amount of it. So much
so that each of us are creating 2.5 quintillion bytes
of data every day (equivalent to 10 million Blu-ray
discs). 90% of the data that exists in the world today
has been created in just the last two years. Our
ability to store and process structured data at scale is
becoming commoditised; however, 80% of the data
we create is unstructured - coming from a variety
of sources such as photos, videos, logs, reports and
social media posts. And, whilst our computers can
save these as files, they have no idea what’s in them.
Data is fuelling new industries too. A developer with
a new idea can build a prototype within days – the
infrastructure, tools and any data needed to realise
the idea are available on the Cloud. Differentiation
often comes from how varied data-sets are combined
to create value for the consumer. These value-driven
experiences are changing customer expectations and
their interactions with brands. The most recent best
experience from one brand soon becomes the lowest
expectation from another brand that may be in a
different sector altogether.
“Anorganisationwithaculture
ofinnovation,collaborationand
truecustomerfocuswillbeable
tomaintaindifferentiation.”
BHARATBHUSHAN
Bharat Bhushan is the Industry
Technical Leader for Banking
and Financial Markets at IBM
UK. He leads the charge in
helping his clients leverage
digital and cognitive
technologies to transform by
creating engaging platforms
and streamlining business
operations. He drives
the innovation agenda in the
industry and is a champion of
open technology, customer
experience and security. He
has twenty years of rich and
hands-on experience in the
IT industry.
He is a member of the advisory
group to the UK regulator
defining implementation
standards for UK’s
Open Banking initiative. He is
a mentor for FinTechs at
Startup bootcamp; Guest
lecturer at Warwick
University on the topic of
cyber security and the Chair
of Digital Banking and Open
API working group at techUK.
3. 6
Corporate identity in the digital era
#9 JANUARY 2017
To meet these ever-increasing customer demands,
corporations are embarking on “digital” journeys.
Regardless of the specific project, the purpose is to
use digital technologies to provide richer, smoother
user experience by moving meaningful data around
quickly, reducing inefficiencies and participating in
value-driven ecosystems. We see these in digital
platforms such as Uber and Airbnb that bring
together the consumers and providers of services.
Whilst any two organisations may look the same in their
digital capabilities, the real differentiation is in their
execution. An organisation with a culture of
innovation, collaboration and true customer focus will
be able to maintain differentiation and identity in the
digital world as they do in the physical world. The
winners will use their digital capabilities to draw
digital intelligence and transform to become cognitive
businesses. To do this, organisations are now able to
apply Artificial Intelligence (AI) to draw insights from
structured and unstructured data.
AI is a collective term used for capabilities such as
natural language processing, deep-learning, neural
networks, vision and more. These capabilities support
ingestion of structured and unstructured data. A system
with these capabilities can learn the meaning of data
and add to a constantly evolving corpus of knowledge.
It can generate hypotheses and points-of-views.
These insights will help organisations truly understand
and even predict their customers’ needs and
personalise services.
Unlike digital systems that are programmed, cognitive
systems are taught. They learn, develop a neural
network of knowledge and ultimately become experts
in a field. Imagine the world’s best oncologist teaching
a cognitive system how to detect cancer, identify
treatment options and have an emotionally intelligent
conversation. Cognitive systems have unlimited
capacity to learn, remember and recall information
and ‘join the dots’ to draw conclusions.
It may appear science-fiction but cognitive capabilities
such as the one just described are already becoming
an integral part of our lives and the wider society. We
are using personal assistants embedded in our
smartphones and chatbots to find information quickly
and to perform tasks. Users no longer need to
remember commands – they can simply speak or chat
with the system as they would to another person - in
natural language - and the system can understand
the intent behind a question regardless of how its
phrased. At work, experts in healthcare and advisers
in the financial services sector are receiving
evidence-based advice on diagnosis or financial
advice, in real-time, that they can use with the clients.
These expert systems are augmenting human
intelligence by doing the heavy lifting of handling and
processing huge amounts of data and drawing insights
which humans cannot do at scale.
Organisations can no longer look to their competitors
to decide what to do next. Innovation and reinvention
is key to existence in this rapidly changing world.
Anticipating and delivering customers’ needs with
agility and pace is vital. Organisations should start on
their journey by exploring how cognitive systems can
uncover the value hidden in their data; it will help
them disrupt new markets or innovate within.
Digital is a pre-requisite and a journey, it is not the
destination. Creating magical experiences that
consumers will pay for is the end game.
“Organisationsshouldstarton
theirjourneybyexploringhow
cognitivesystemscanuncover
thevaluehiddenintheirdata;
itwillhelpthemdisruptnew
marketsorinnovatewithin.”