This document discusses IBM's strategy for commercializing Watson, its cognitive computing system. Some key challenges in commercializing Watson include the high hardware costs, data security concerns with cloud deployment, and lack of developer ecosystem. IBM's strategies to overcome these challenges include strategic investments in analytics, strategic partnerships with industries like healthcare, deploying Watson on the cloud to reduce costs, and developing applications across multiple industries. The document provides several examples of how IBM is applying Watson in industries like healthcare, banking, retail, and government to analyze large unstructured data and provide personalized recommendations.
Cloud Computing Trends: at the Horizon\'s WatchJocelynDG
As follow up to our cloud primer, Cloud Computing: Fact versus Fog, Grail Research interviewed 20 cloud computing experts in order to offer cloud providers, investors and prospective customers a more detailed and consolidated understanding of who cloud customers are and what is driving them to move to cloud today. Experts interviewed for this study span a cross-section of the most progressive cloud thinkers, including industry analysts, senior executives at major cloud vendors, and founders of technology firms. This report summarizes the key themes about customers and adoption drivers that emerged from the research.
Internet of Things - Enablement by TechcelloIlyas F ☁☁☁
M2M space is going through significant transformation. Device manufacturers are investing a lot on making the devices such as HMI, PLCs, and Robots smarter. With the proliferation of mobiles and cloud, customers are demanding to visualize the data from their machines on their mobile and desktop. Significant effort is going on using the data coming out of these devices and getting intelligence out of the data. Read this whitepaper to understand Techcello’s role in IOT Enablement.
This document discusses Oracle's Internet of Things platform for connecting machines and devices. It describes how Oracle provides a complete solution to develop and deploy applications across devices and data centers, manage and analyze large volumes of machine-generated data, integrate device data with enterprise applications, protect data through all stages of processing with security and compliance capabilities, and optimize business operations and innovation with Oracle applications and engineered systems.
This document discusses the shift from Big Data 1.0 to Big Data 2.0. Big Data 1.0 focused on introducing technologies like Hadoop to take advantage of new data sources but faced challenges of complexity, specialized skills requirements, lack of security/availability, data skills shortage, and performance issues. Big Data 2.0 will see shifts like cooperative processing across platforms, accessible analytic tools for non-experts, moving processing to data for real-time analytics, combining relational and non-relational data, abstracting infrastructure complexity, and unified platforms covering the entire analytic process to unlock over $15 trillion in untapped value from data. Companies that embrace these Big Data 2.0 capabilities can achieve better performance, faster
The document discusses how the Internet of Things (IoT) will reshape businesses by connecting previously offline processes and products online. It will require companies to establish direct, always-on connections to customers and fundamentally change how they operate, interact with customers, and generate revenue. The challenges of building successful IoT businesses include launching connected services and products, managing them ongoing, and monetizing the connected services through complex billing relationships, cost controls, and data-driven decisions. Service IT provides the technologies and capabilities needed to address these challenges and enable companies to capitalize on the opportunities of IoT.
With physical interaction no longer being an acceptable form of communication in light of social distancing efforts, enterprises and institutions around the world have made a sudden shift to digital solutions in a bid to retain productivity. Companies are now starting to realize the benefits of cloud computing, even beyond the immediate need for remote work generated by COVID-19 this year. As a result, it's likely that many businesses will begin scaling up their digital transformation efforts and invest heavily in IT and cloud resources in the coming years.
This documentation explains how cloud technology is the corporate world’s biggest partner in times of crises like COVID-19.
This white paper discusses how organizations can transform big data into business value by connecting various data sources, analyzing data at scale, and taking action. It outlines the challenges of dealing with exponentially growing data in today's digital world. The paper introduces Actian's solutions for enabling an "action-driven enterprise" through its DataCloud Platform for invisible integration and ParAccel Platform for unconstrained analytics. These platforms allow organizations to connect diverse data, analyze it without constraints, and automate actions based on insights gleaned from big data analytics. Use cases demonstrate how companies are leveraging Actian's technology to gain competitive advantages.
Cloud Computing Trends: at the Horizon\'s WatchJocelynDG
As follow up to our cloud primer, Cloud Computing: Fact versus Fog, Grail Research interviewed 20 cloud computing experts in order to offer cloud providers, investors and prospective customers a more detailed and consolidated understanding of who cloud customers are and what is driving them to move to cloud today. Experts interviewed for this study span a cross-section of the most progressive cloud thinkers, including industry analysts, senior executives at major cloud vendors, and founders of technology firms. This report summarizes the key themes about customers and adoption drivers that emerged from the research.
Internet of Things - Enablement by TechcelloIlyas F ☁☁☁
M2M space is going through significant transformation. Device manufacturers are investing a lot on making the devices such as HMI, PLCs, and Robots smarter. With the proliferation of mobiles and cloud, customers are demanding to visualize the data from their machines on their mobile and desktop. Significant effort is going on using the data coming out of these devices and getting intelligence out of the data. Read this whitepaper to understand Techcello’s role in IOT Enablement.
This document discusses Oracle's Internet of Things platform for connecting machines and devices. It describes how Oracle provides a complete solution to develop and deploy applications across devices and data centers, manage and analyze large volumes of machine-generated data, integrate device data with enterprise applications, protect data through all stages of processing with security and compliance capabilities, and optimize business operations and innovation with Oracle applications and engineered systems.
This document discusses the shift from Big Data 1.0 to Big Data 2.0. Big Data 1.0 focused on introducing technologies like Hadoop to take advantage of new data sources but faced challenges of complexity, specialized skills requirements, lack of security/availability, data skills shortage, and performance issues. Big Data 2.0 will see shifts like cooperative processing across platforms, accessible analytic tools for non-experts, moving processing to data for real-time analytics, combining relational and non-relational data, abstracting infrastructure complexity, and unified platforms covering the entire analytic process to unlock over $15 trillion in untapped value from data. Companies that embrace these Big Data 2.0 capabilities can achieve better performance, faster
The document discusses how the Internet of Things (IoT) will reshape businesses by connecting previously offline processes and products online. It will require companies to establish direct, always-on connections to customers and fundamentally change how they operate, interact with customers, and generate revenue. The challenges of building successful IoT businesses include launching connected services and products, managing them ongoing, and monetizing the connected services through complex billing relationships, cost controls, and data-driven decisions. Service IT provides the technologies and capabilities needed to address these challenges and enable companies to capitalize on the opportunities of IoT.
With physical interaction no longer being an acceptable form of communication in light of social distancing efforts, enterprises and institutions around the world have made a sudden shift to digital solutions in a bid to retain productivity. Companies are now starting to realize the benefits of cloud computing, even beyond the immediate need for remote work generated by COVID-19 this year. As a result, it's likely that many businesses will begin scaling up their digital transformation efforts and invest heavily in IT and cloud resources in the coming years.
This documentation explains how cloud technology is the corporate world’s biggest partner in times of crises like COVID-19.
This white paper discusses how organizations can transform big data into business value by connecting various data sources, analyzing data at scale, and taking action. It outlines the challenges of dealing with exponentially growing data in today's digital world. The paper introduces Actian's solutions for enabling an "action-driven enterprise" through its DataCloud Platform for invisible integration and ParAccel Platform for unconstrained analytics. These platforms allow organizations to connect diverse data, analyze it without constraints, and automate actions based on insights gleaned from big data analytics. Use cases demonstrate how companies are leveraging Actian's technology to gain competitive advantages.
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.
The document discusses how enterprises are using emerging technologies to transform their businesses. It explores seven areas where technologies are being used together to reimagine what's possible, including delivering crowdsourced services, reinventing the value chain, growing sustainably, bridging the digital and physical worlds, and more. The document provides examples of how companies are leveraging technologies like mobile, cloud, IoT, and data analytics to drive innovation and gain competitive advantages.
The document discusses how communication service providers can leverage big data analytics to improve customer satisfaction and extract business value. It recommends implementing an Analytics Big Data Repository to provide automated insight into customer usage and performance in real-time. This would allow customizing marketing campaigns and offers for each customer based on their real-time usage patterns and behaviors. It would also enable real-time network optimization and customer experience management through issues detection and resolution. The repository is presented as a solution to data replication challenges that can support multiple use cases and analytical systems simultaneously.
Market Research Reports, Inc. has announced the addition of “Big Data in Global Telecom Market: Key Trends, Market Opportunities and Industry Forecast 2015-2020" research report to their Offering. See more at - http://mrr.cm/oqS
Cloud computing in telecom industry project thesisSolly Vinodh
This document is a management challenge submitted by Vinodh Chinnakkannu to Henley Business School in partial fulfillment of an MBA degree. It investigates how cloud computing technology can enable value chain restructuring and business operations optimization in the UK telecom industry. Through a literature review and primary research, the author finds that cloud computing impacts the telecom industry by restructuring value chains, redefining the operating model, and leveraging strategic alliances between telecom and IT firms. The author develops a new telecom operating framework adapted from e-TOM to help firms adopt cloud computing technology. In conclusion, the document examines the research findings and makes recommendations for further research.
Cloud Computing In telecom Sector: Opportunites and ChallengesAnkit Patil
Virtual assistants can be created to provide basic healthcare information to people in their
own language. These assistants can be accessed via mobile apps, websites or voice interfaces.
16
Cloud Computing Trends in India
3. Agriculture
Agriculture is the primary source of livelihood for about 58% of India’s population. However,
agricultural productivity in India is low compared to other countries due to various factors
such as fragmented landholding, lack of access to modern tools and techniques, lack of
access to information and knowledge.
Challenges
- Lack of access to information on weather, market prices, new techniques etc. for farmers
- Inadequate infrastructure for storage and transportation of agricultural produce
-
Design thinking: An approach to innovation that scales. Infosys Consulting
In our latest piece of thought-leadership, two of our partners show-case how design thinking is rapidly changing the way companies approach innovation, and why it is a process that can be taught to almost anyone. This paper explores the key pillars of design thinking using real-world Infosys Consulting client success stories and offers insights into how any firm can incorporate it into their approach forward.
Major Acquisitions (2012-13) In IT Industry By Nirav KhandhediaNirav Khandhedia
This document summarizes several major acquisitions that occurred in the IT industry between 2012-2013. It discusses Amdocs acquiring Bridgewater Systems and Actix in 2012-2013 to expand its customer experience portfolio. It also discusses TCS acquiring French IT services firm ALTI to gain a strong presence in France, IBM acquiring Kenexa to bolster its social business capabilities, IBM acquiring Texas Memory Systems to expand its solid state storage solutions, Wipro acquiring Promax to strengthen its trade promotion management capabilities, and Western Digital acquiring Hitachi Global Storage Technologies to expand its hard drive business.
Cloud computing is a technology that is rapidly being adopted by companies but also presents significant risks if not properly managed. It involves hosting services and computing resources being provided over the internet on a flexible usage basis. While it offers numerous benefits like reduced costs, increased flexibility and scalability, security and data backups, it also transfers control of IT systems and data to external cloud providers. Risk managers must understand cloud computing and ensure comprehensive risk management plans are in place to address the risks of adopting cloud technologies and transferring control to external providers.
- Learn to understand what knowledge graphs are for
- Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies)
- Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods.
- Understand knowledge graphs as a basis for data integration in companies
- Understand knowledge graphs as tools for data governance and data quality management
- Implement and further develop knowledge graphs in companies
- Query and visualize knowledge graphs (including SPARQL and SHACL crash course)
- Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision
- Develop digital assistants and question and answer systems based on semantic knowledge graphs
- Understand how knowledge graphs can be combined with text mining and machine learning techniques
- Apply knowledge graphs in practice: Case studies and demo applications
IBM is a large American technology company known for computers, software, and services. It aims to lead in advanced technologies and translate them into value for customers. IBM has a long history dating back to the 1930s and has grown significantly. It faces strategic issues related to skills shortage in the industry, market segmentation, current marketing situation, and competition.
Five Priorities for Quality Engineering When Taking Banking to the CloudCognizant
As banks move to cloud-based banking platforms for lower costs and greater agility, they must seamlessly integrate technologies and workflows while ensuring security, performance and an enhanced user experience. Here are five ways cloud-focused quality assurance helps banks maximize the benefits.
The document discusses cloud computing, including definitions of different types like SaaS, PaaS, and IaaS. It summarizes views on cloud computing being in early adoption phases and as a paradigm shift. The document also provides statistics from surveys on Canadian businesses' use and views of cloud computing, including the most promising cloud applications like SaaS and additional hardware on demand.
The survival kit for your digital transformationrun_frictionless
To go digital, you need an IT organization, an enterprise architecture, IT processes, and tools that allow for new projects to go live tomorrow instead of next week. The ability to do this will give you a competitive advantage and it will also reduce costs. But how do you get there? This white paper will get you there.
https://runfrictionless.com/b2b-white-paper-service/
Our supply chain expert shares insights on how Industry 4.0 is enabling companies to create lasting competitive advantage, sustainably and financially. This paper explores the key pillars of today’s sustainable supply chain and what variables have impacted its rise. Key points:
Industry 4.0 advances are being powered by the Internet of Things in which factory “command centers” are tethered to the cloud, enabling real-time monitoring and demand-driven configuration.
To win in today’s market firms must also embrace big data in a way that stiches together fragmented, custom e-commerce orders with reactive, optimized supply chains and factory production.
An overview of a framework companies can use to deliver on Industry 4.0 to seize a competitive advantage in today’s uber-connected world.
Companies embracing the new era of sustainability not only help the environment through decreased energy usage, but also please shareholders via expanding enterprise value – economically and sustainably.
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolrVasu S
An O'Reilly eBook about Creating a Data-Driven Enterprise in Media DataOps Insights from Comcast, Sling TV, and Turner Broadcasting.
https://www.qubole.com/resources/ebooks/ebook-creating-a-data-driven-enterprise-in-media
The document provides an overview of Amazon Web Services (AWS), including what cloud computing is, the benefits of AWS compared to traditional IT models, and the various services offered through AWS. Some key points:
- AWS provides on-demand access to computing resources and services on a pay-as-you-go model, allowing customers flexibility and ability to scale up or down based on needs.
- Benefits of AWS include flexibility to use familiar tools, pay only for what you use without long-term commitments, and ability to quickly scale resources up or down to meet demand.
- AWS offers a range of cloud-based services including compute, storage, databases, analytics, applications, and deployment/management tools.
The document provides an overview of Amazon Web Services (AWS), including what cloud computing is, the benefits of AWS compared to traditional IT models, and the various services offered through AWS. Some key points:
- AWS provides on-demand access to computing resources and services on a pay-as-you-go model, allowing customers flexibility and ability to scale up or down based on needs.
- Benefits of AWS include flexibility to use familiar tools, pay only for what you use without long-term commitments, and ability to quickly scale resources up or down to meet demand.
- AWS offers a range of cloud-based services including compute, storage, databases, analytics, applications, and deployment/management tools.
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.
The document discusses how enterprises are using emerging technologies to transform their businesses. It explores seven areas where technologies are being used together to reimagine what's possible, including delivering crowdsourced services, reinventing the value chain, growing sustainably, bridging the digital and physical worlds, and more. The document provides examples of how companies are leveraging technologies like mobile, cloud, IoT, and data analytics to drive innovation and gain competitive advantages.
The document discusses how communication service providers can leverage big data analytics to improve customer satisfaction and extract business value. It recommends implementing an Analytics Big Data Repository to provide automated insight into customer usage and performance in real-time. This would allow customizing marketing campaigns and offers for each customer based on their real-time usage patterns and behaviors. It would also enable real-time network optimization and customer experience management through issues detection and resolution. The repository is presented as a solution to data replication challenges that can support multiple use cases and analytical systems simultaneously.
Market Research Reports, Inc. has announced the addition of “Big Data in Global Telecom Market: Key Trends, Market Opportunities and Industry Forecast 2015-2020" research report to their Offering. See more at - http://mrr.cm/oqS
Cloud computing in telecom industry project thesisSolly Vinodh
This document is a management challenge submitted by Vinodh Chinnakkannu to Henley Business School in partial fulfillment of an MBA degree. It investigates how cloud computing technology can enable value chain restructuring and business operations optimization in the UK telecom industry. Through a literature review and primary research, the author finds that cloud computing impacts the telecom industry by restructuring value chains, redefining the operating model, and leveraging strategic alliances between telecom and IT firms. The author develops a new telecom operating framework adapted from e-TOM to help firms adopt cloud computing technology. In conclusion, the document examines the research findings and makes recommendations for further research.
Cloud Computing In telecom Sector: Opportunites and ChallengesAnkit Patil
Virtual assistants can be created to provide basic healthcare information to people in their
own language. These assistants can be accessed via mobile apps, websites or voice interfaces.
16
Cloud Computing Trends in India
3. Agriculture
Agriculture is the primary source of livelihood for about 58% of India’s population. However,
agricultural productivity in India is low compared to other countries due to various factors
such as fragmented landholding, lack of access to modern tools and techniques, lack of
access to information and knowledge.
Challenges
- Lack of access to information on weather, market prices, new techniques etc. for farmers
- Inadequate infrastructure for storage and transportation of agricultural produce
-
Design thinking: An approach to innovation that scales. Infosys Consulting
In our latest piece of thought-leadership, two of our partners show-case how design thinking is rapidly changing the way companies approach innovation, and why it is a process that can be taught to almost anyone. This paper explores the key pillars of design thinking using real-world Infosys Consulting client success stories and offers insights into how any firm can incorporate it into their approach forward.
Major Acquisitions (2012-13) In IT Industry By Nirav KhandhediaNirav Khandhedia
This document summarizes several major acquisitions that occurred in the IT industry between 2012-2013. It discusses Amdocs acquiring Bridgewater Systems and Actix in 2012-2013 to expand its customer experience portfolio. It also discusses TCS acquiring French IT services firm ALTI to gain a strong presence in France, IBM acquiring Kenexa to bolster its social business capabilities, IBM acquiring Texas Memory Systems to expand its solid state storage solutions, Wipro acquiring Promax to strengthen its trade promotion management capabilities, and Western Digital acquiring Hitachi Global Storage Technologies to expand its hard drive business.
Cloud computing is a technology that is rapidly being adopted by companies but also presents significant risks if not properly managed. It involves hosting services and computing resources being provided over the internet on a flexible usage basis. While it offers numerous benefits like reduced costs, increased flexibility and scalability, security and data backups, it also transfers control of IT systems and data to external cloud providers. Risk managers must understand cloud computing and ensure comprehensive risk management plans are in place to address the risks of adopting cloud technologies and transferring control to external providers.
- Learn to understand what knowledge graphs are for
- Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies)
- Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods.
- Understand knowledge graphs as a basis for data integration in companies
- Understand knowledge graphs as tools for data governance and data quality management
- Implement and further develop knowledge graphs in companies
- Query and visualize knowledge graphs (including SPARQL and SHACL crash course)
- Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision
- Develop digital assistants and question and answer systems based on semantic knowledge graphs
- Understand how knowledge graphs can be combined with text mining and machine learning techniques
- Apply knowledge graphs in practice: Case studies and demo applications
IBM is a large American technology company known for computers, software, and services. It aims to lead in advanced technologies and translate them into value for customers. IBM has a long history dating back to the 1930s and has grown significantly. It faces strategic issues related to skills shortage in the industry, market segmentation, current marketing situation, and competition.
Five Priorities for Quality Engineering When Taking Banking to the CloudCognizant
As banks move to cloud-based banking platforms for lower costs and greater agility, they must seamlessly integrate technologies and workflows while ensuring security, performance and an enhanced user experience. Here are five ways cloud-focused quality assurance helps banks maximize the benefits.
The document discusses cloud computing, including definitions of different types like SaaS, PaaS, and IaaS. It summarizes views on cloud computing being in early adoption phases and as a paradigm shift. The document also provides statistics from surveys on Canadian businesses' use and views of cloud computing, including the most promising cloud applications like SaaS and additional hardware on demand.
The survival kit for your digital transformationrun_frictionless
To go digital, you need an IT organization, an enterprise architecture, IT processes, and tools that allow for new projects to go live tomorrow instead of next week. The ability to do this will give you a competitive advantage and it will also reduce costs. But how do you get there? This white paper will get you there.
https://runfrictionless.com/b2b-white-paper-service/
Our supply chain expert shares insights on how Industry 4.0 is enabling companies to create lasting competitive advantage, sustainably and financially. This paper explores the key pillars of today’s sustainable supply chain and what variables have impacted its rise. Key points:
Industry 4.0 advances are being powered by the Internet of Things in which factory “command centers” are tethered to the cloud, enabling real-time monitoring and demand-driven configuration.
To win in today’s market firms must also embrace big data in a way that stiches together fragmented, custom e-commerce orders with reactive, optimized supply chains and factory production.
An overview of a framework companies can use to deliver on Industry 4.0 to seize a competitive advantage in today’s uber-connected world.
Companies embracing the new era of sustainability not only help the environment through decreased energy usage, but also please shareholders via expanding enterprise value – economically and sustainably.
O'Reilly eBook: Creating a Data-Driven Enterprise in Media | eubolrVasu S
An O'Reilly eBook about Creating a Data-Driven Enterprise in Media DataOps Insights from Comcast, Sling TV, and Turner Broadcasting.
https://www.qubole.com/resources/ebooks/ebook-creating-a-data-driven-enterprise-in-media
The document provides an overview of Amazon Web Services (AWS), including what cloud computing is, the benefits of AWS compared to traditional IT models, and the various services offered through AWS. Some key points:
- AWS provides on-demand access to computing resources and services on a pay-as-you-go model, allowing customers flexibility and ability to scale up or down based on needs.
- Benefits of AWS include flexibility to use familiar tools, pay only for what you use without long-term commitments, and ability to quickly scale resources up or down to meet demand.
- AWS offers a range of cloud-based services including compute, storage, databases, analytics, applications, and deployment/management tools.
The document provides an overview of Amazon Web Services (AWS), including what cloud computing is, the benefits of AWS compared to traditional IT models, and the various services offered through AWS. Some key points:
- AWS provides on-demand access to computing resources and services on a pay-as-you-go model, allowing customers flexibility and ability to scale up or down based on needs.
- Benefits of AWS include flexibility to use familiar tools, pay only for what you use without long-term commitments, and ability to quickly scale resources up or down to meet demand.
- AWS offers a range of cloud-based services including compute, storage, databases, analytics, applications, and deployment/management tools.
The document provides an overview of Amazon Web Services (AWS), describing its key benefits and services. It outlines that AWS provides a flexible, scalable, secure, and cost-effective cloud computing platform that delivers computing and storage resources on demand. The platform includes services for compute, networking, storage, databases, analytics, applications, and deployment/management that can be utilized without long-term commitments or upfront expenses. AWS has been in operation since 2006 and is used by hundreds of thousands of customers worldwide across industries such as e-commerce, research, and media.
This document discusses cloud computing trends based on interviews with 20 cloud computing experts. It finds that the main customer segments adopting cloud computing are small and medium businesses (SMBs), large enterprises selectively, the U.S. government, and emerging markets. Accessibility, changing perceptions of risk, and adapting cloud models are driving more customers to adopt cloud now. The document provides details on each of these customer segments and drivers.
World of Watson 2016 - Implementing data scienceKeith Redman
The document describes several sessions occurring at an IBM event on advanced analytics. It provides details on session titles, times, speakers and industries. Some of the sessions include:
- Creating a data science program from the ground up using IBM technologies like Cognos and SPSS at Blue Cross Blue Shield of Western New York.
- An introduction to the IBM Data Science Experience for data scientists to collaborate in the cloud.
- Using cognitive detection APIs in the Data Science Experience to recognize entities in data sets.
- Building a word2vec model with Twitter data in the Data Science Experience.
White Paper Servicios Frost & Sullivan EnglishFelipe Lamus
This document discusses how implementing new technologies as individual point solutions can increase costs and complexity compared to taking a holistic approach. It recommends choosing a technology partner with expertise across various domains to help develop a strategic technology roadmap. Cisco is presented as a potential partner due to its innovative vision, global and local expertise, broad technology portfolio, and proven methodology for consulting services.
Cloud infrastructure; Public or Private? A cost perspectiveSwyx
Infrastructure as a service (IaaS) is one of the biggest drivers of corporate cloud demand. While most will adopt private cloud, some are using the public cloud and cost is one of the many reasons. In this article we discuss a top-down comparison of the two based on the economic theory of experience curves to see which is the most cost-effective.
VMblog - 2020 IT Predictions from 26 Industry Expertsvmblog
The document provides predictions from various IT industry experts for trends in 2020. Key predictions include:
- Containers and hybrid cloud adoption will continue to grow.
- Ransomware attacks will remain a major issue, especially for managed service providers.
- Workplace technologies will transform how employees work, engage with technology, and the rise of augmented workers.
- Multi-cloud environments will drive the need for more diverse data protection capabilities.
- Automation and open source tools will fuel growth in network automation.
- Cloud adoption will continue but organizations need to carefully consider total costs and business needs.
- Desktops will increasingly move to the cloud through services like Windows Virtual Desktop.
- Privacy and the
The document provides an overview of Amazon Web Services (AWS), a cloud computing platform. It discusses that AWS offers flexible, scalable, secure, cost-effective IT infrastructure services including compute, storage, databases, networking and more. It has built these services based on Amazon's 15+ years of experience delivering large-scale IT infrastructure and now serves hundreds of thousands of customers worldwide. Organizations can use AWS to deploy applications easily and consume only the resources needed, avoiding upfront costs and improving agility.
The document provides an overview of Amazon Web Services (AWS), a cloud computing platform. It discusses that AWS provides on-demand access to computing resources and services on a pay-as-you-go model. It offers flexibility, scalability, security and reliability while being cost-effective. The document outlines key AWS services like compute, storage, databases and others and how organizations can leverage them. It also discusses benefits like no upfront costs, ability to scale resources as needed and leveraging Amazon's experience in managing large-scale infrastructure.
This document discusses enabling analytics as a service (AaaS) on IBM SoftLayer Cloud. It describes how various analytical platforms and workloads have been modernized, migrated, and deployed on the SoftLayer Cloud to provide analytics capabilities as a service. Specifically, it outlines big data analytics platforms like Cloudera, Hortonworks, MapR, and IBM BigInsights that have been implemented on the cloud. It also discusses real-time analytics platforms like VoltDB and Apache Storm that have been deployed on SoftLayer Cloud to enable real-time analytics and processing of fast data streams.
This document discusses how the Windows Azure platform can help drive revenue and innovation in the retail industry. It outlines Microsoft's cloud strategy and key components of the Windows Azure platform. It then describes several scenarios for how retail companies can use Windows Azure, such as for demand forecasting, smart client store systems, supply chain collaboration, consumer promotions, connecting distributed stores, and scalable e-commerce. It concludes that Windows Azure allows retailers to leverage cloud computing to reduce costs and enhance operations.
World of Watson 2016 - Internet of (Things) TomorrowKeith Redman
According to Forbes Magazine, in 2008 the number of devices connected to the internet first exceeded the number of Humans connect to the internet. Since then, the Internet has exploded with the number of 'Things' connected to it and communicating across it. That data is a treasure for those who know how to mine it. Check out these sessions on Analytics in the Internet of Tomorrow.
1. Smart cards are credit card sized cards with embedded integrated chips that act as security tokens. They connect to readers through direct contact or wireless technologies like RFID.
2. Smart cards have various applications including use in telecommunications, identification, government, financial, healthcare, loyalty programs, and transportation.
3. Business intelligence refers to collecting, storing, and analyzing business data to inform management decisions. It includes tools like spreadsheets, reporting software, data visualization, data mining, and online analytical processing.
The future is in the cloud, or at least it's migrating there. Offering scalability, flexibility and agility, the cloud is the obvious solution for businesses seeking to make sense of the deluge of data. Cloud services can also help companies meet sustainability goals and even cut costs. But cloud strategies need to be carefully crafted to avoid the risks of remote storage and realise the potential of cloud-enabled efficiencies.
The document discusses how IBM's WebSphere platform can help companies reinvent their enterprises through cloud, mobile, analytics, and the internet of things. It provides examples of clients who have succeeded by using IBM's cloud solutions to improve time to market, mobile solutions to enhance customer engagement, and analytics solutions to gain real-time insights. The document promotes WebSphere's capabilities in these areas and notes it has the best capabilities and highest market share according to industry analysts.
This document discusses key infrastructure elements for cloud computing. It describes the evolution of cloud computing from earlier technologies like grid computing. The document outlines an architecture framework for a dynamic data center that leverages virtualization and infrastructure management technologies. It provides examples of how cloud infrastructures have been used for innovation, software development, and data-intensive workloads.
In this presentation, Divyatmika introduces SMAC and associated trends. Divyatmika's interest area is Big Data analytics in cloud where she intends to not only do due diligence on the size and processing power of the cloud platform but also develop solutions to give people access to critical analysis.
ISVs in the Cloud, considerations for a successful transitionSwyx
ISVs transitioning to a SaaS business model should have three key considerations: 1) to avoid infrastructure, 2) which platform and 3) how to fund working capital.
Shamit khemka list outs 6 technology trends for 2015SynapseIndia
Originally, We figured we'd reel off some predictions about the coming year. But we're at one of those rare junctures when a bunch of trends have begun to crystallize and We're pretty sure many of them will persist for more than 12 months. Shamit Khemka list outs technology trends.
SynapseIndia technologies and data-driven solutions help our clients grow their businesses. Take a look at the technologies that we specialize in: https://www.synapseindia.jobs/strengths-technologies/
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
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1. WATSON
IS THIS THE FUTURE OF IBM? Read and Know for yourself.
Tags: FUTURISTIC IBM (CAMS), CLOUD, ANALYTICS, MOBILITY and SOCIAL MEDIA,
WATSON, Jeopardy
Table of Contents
Introduction ........................................................................................................................................... 2
WATSON - Commercialization................................................................................................................ 2
Challenges for IBM Watson................................................................................................................ 2
IBM Strategies to overcome the challenges posed............................................................................ 3
Strategic Investment ...................................................................................................................... 3
Strategic Partnership...................................................................................................................... 3
Strategic Pilot Engagements in Financial World............................................................................. 3
Strategy to use CLOUD as Development Platform......................................................................... 3
Strategy for Cross industry Application of WATSON...................................................................... 3
Critical Evaluation of Strategy Adopted................................................................................................. 7
What Can Be Drawn from Above ........................................................................................................... 8
Bibliography ........................................................................................................................................... 8
2. 2/9
Introduction
Since last one decade IBM has been shifting its strategy from just being a technology provider to being a service provide
through its continuous innovations and Smarter Planet strategies. Also IBM continued to invest in R&D keeping future in mind.
Since 2007 IBM engineers and innovators in IBM’s Research labs worked to develop a new cognitive computing system. This
was called WATSON. Using natural language processing and analytics, Watson processes information akin to how people
think, representing a major shift in an organization’s ability to quickly analyze, understand and respond to Big Data. Watson’s
ability to answer complex questions posed in natural language with speed, accuracy and confidence is transforming decision
making across a variety of industries.
This Analysis work will focus on IBM’s Strategy on how it is planning to leverage WATSON for Commercial use.
WATSON - Commercialization
IBM has transformed Watson from a quiz-show winner, into a commercial cognitive computing breakthrough that is helping
businesses engage customers, healthcare organizations personalize patient care, and entrepreneurs build businesses. A major
initiative for the IBM is to continue advancing its research and development to accelerate the delivery of cognitive innovations
to organizations via the cloud. IBM will engineer Watson to be deployed on SoftLayer Technologies, a cloud computing
infrastructure business IBM purchased last June 2013. SoftLayer has approximately 21,000 enterprise customers and a global
cloud infrastructure platform spanning 13 data centers throughout the U.S., Asia and Europe. It provides the infrastructure for
cloud-centric, performance-intensive applications in the areas of mobile, social media, gaming and analytics -- market
segments that closely align to IBM's business and technology strategy
Challenges for IBM Watson
It's a bit of commonly accepted wisdom in big data circles that small companies and startups will be the ones to drive big
data technology forward and define the shape of the market to come. The large players, like IBM and Oracle, unable to
adjust quickly enough to a world changing at breakneck speed, will see bits of their business intelligence market stripped away
by smaller, more agile competitors.
Few outlined challenges for WATSON leading to Tepid response to WATSON are
3. 3/9
• Huge Hardware Cost (The Watson that won Jeopardy! was built on 90 IBM Power 750 Express servers
powered by 8-core processors—four in each machine for a total of 32 processors per machine. At the
time, Power 750 servers were running $34,500 a piece, adding up to about $3 million.)
• Data Security over CLOUD
• Expensive Resources (Watson is like hiring an expensive data scientist)
• Lack of WATSON developer ecosystem (Where are the developers)
IBM Strategies to overcome the challenges posed
Strategic Investment
IBM has built world's broadest and deepest portfolio in data and analytics.
$
24 billion invested to date to build IBM’s capabilities in Big Data and analytics, with $7 billion in organic investment
$
17 billion of gross spend for Big Data and analytics acquisitions, including more than 30 acquired companies
15,000 analytics consultants and 400 mathematicians
40,000 client engagements to date
$
1 billion investment in Flash technology, providing industry-leading speed and efficiency to enable data to be real-time ready
for analytics
1,000 university partnerships, and 2,215 IBM Business Partners
500 analytics patents generated each year
2/3 of IBM Research is focused on data, analytics and cognitive computing
Strategic Partnership
IBM has partnered with a range of healthcare organizations to help transform how medicine is practiced, paid for and taught,
with the help of Watson-powered solutions. This includes collaborations with Memorial Sloan-Kettering Cancer Center,
WellPoint, the University of Texas MD Anderson Cancer Center, and Cleveland Clinic Lerner College of Medicine of Case
Western Reserve University.
Strategic Pilot Engagements in Financial World
In May 2013, IBM unveiled the Watson Engagement Advisor, a commercial breakthrough that helps businesses deepen and
redefine engagement with customers. Top brands including DBS Bank and Nielsen are exploring how Watson can help them
engage customers.
Strategy to use CLOUD as Development Platform
In November 2013, IBM announced it would make Watson available as a development platform in the cloud, enabling software
application providers to build a new generation of apps infused with cognitive computing intelligence. This includes the
Watson Developers Cloud: a cloud-hosted marketplace where application providers can tap into resources for developing
Watson-powered apps, including Watson's API. Three business partners plan to go to market in 2014 with Watson apps, from
Fluid to transform how consumers shop, from MD Buyline to help hospitals procure devices, and Welltok to enable health plans
to engage their members.
Currently more than 760 applicants have shared their ideas for creating cognitive apps that redefine how businesses and
consumers make decisions.
Strategy for Cross industry Application of WATSON
IBM's Makes Watson to the size of a pizza box
The Watson-capable servers being deployed to hospitals and data centers will only take up one slot in a standard server
rack(the size of a Pizza Box). This does not mean that it is slower or has compromised on its processing speed. Watson’s
theoretical processing speed has been bumped up 240% since its television debut. The key to the slimmed down Watson rig is
not only the improved processing algorithms, but also domain specialization leading to reduction in the size of the Hardware
used. This exponentially reduces cost of hardware running WATSON.
4. 4/9
IBM'S WATSON TO ENSURE BUSINESS DYNAMICALLY CHOOSES THE LOCATION OF CLOUD DATA
IBM has patented a technique that helps clients automatically analyze and manage the location where their public and private
cloud data is stored, thereby enabling companies to comply with regulations governing where data can be stored in different
countries and continents.
The patented IBM invention -- Geographic governance of data over clouds: U.S. patent #8,676,593 – allows users to
dynamically choose or change the location where cloud data resides, ensuring that businesses adhere to local or regional
compliance and security regulations.
Cloud computing offers many benefits through the scalability and ease of use enabled by providing access to information
stored in data centers often based in remote, disparate geographical locations. A challenge that can arise from the cloud model
is the need for cloud providers to manage and govern content in accordance with regulations specified by government
agencies in different countries or continents.
IBM's patented invention serves as a smart routing device for cloud data, enabling business owners to have greater control
over where their cloud data is stored and thereby more easily comply with local laws. The invention allows companies to mark
or tag their data and use an intelligent cloud management system to store files in the appropriate location. For example, if a
business needs to ensure that all of its financial data is stored in specific cloud data center, the associated files are tagged
appropriately and the cloud management system ensures that the files are stored in the correct location(s).
During the early years of cloud computing, it was evident that storing and accessing business data across geographically
dispersed cloud computing environments could present logistical and regulatory challenges. Our team of inventors designed a
system that will allow businesses to efficiently manage and move data in the cloud, while meeting required compliance
mandates in different countries."
IBM WANTS WATSON TO ORCHESTRATE YOUR NEXT BOARDROOM TAKEOVER
IBM is testing a wall-sized prototype in the Thomas J. Watson research center in New York., The computer can listen for its
name and execute commands using system's ceiling-mounted microphones, all while transcribing the entire meeting.
IBM wants to integrate WATSON in the board meetings not as a mere stenographer but more because it can actively
participate in the discussion at hand. In a live demonstration, it helped researchers generate a list of companies to acquire,
using only an internal memo summarizing a fake company's strategy, decision-making algorithms, and a voice command. After
some back and forth between the fake executives and the computer, Watson narrowed down its results, and rendered a
verdict. "I recommend eliminating Kawasaki Robotics," it said. When prompted to explain, it told the researchers that Kawasaki
Robotics "is inferior to Cognilytics in every way."
IBM'S WATSON TO HELP MILITARY MEMBERS TRANSITION TO CIVILIAN LIFE
The move to civilian life can be challenging for military personnel -- they have often centered their entire lives on active duty.
Roughly 155,000 people transition from military to civilian life every year, according to the Bureau of Labor Statistics.
IBM recently that it partnered with USAA to bring military members an app to help with the transition out of service. This is the
first time Watson is being used as a consumer app. This new service can help men and women who served their country gain
timely and relevant insights into the steps they need to successfully move to civilian life
The app lets transitioning military personnel ask Watson questions about civilian life, such as what benefits are offered, what
does insurance cover, how does the GI Bill work, and even how to get a job or buy a new home. To answer these questions,
the app taps into Watson's cognitive intellect, which has culled data from more than 3,000 documents on military transitions.
IBM'S WATSON IS HELPFUL IN THE KITCHEN
IBM paired with the Institute of Culinary Education in New York City and debuted Chef Watson from a food truck at the annual
South by Southwest music festival in Austin, Texas, in March. That project combined Watson's learning and natural language
capabilities with the talents of top chefs who cooked meals for attendees
IBM recently paired with the food magazine Bon Appétit to create a Web-based application that uses Watson's brain power to
analyze an abundance of inputted recipes and food chemical information to create unique ingredient combinations. It's then up
to the chefs to figure out how to cook and develop those recipes.
Watson was loaded with the magazine's database of over 9,000 recipes to see if it could pick up on patterns and extrapolate on
what staff at the magazine had learned over the years.
5. 5/9
For example, Watson suggested to Bon Appétit Senior Food Editor Dawn Perry that she use two kinds of onions, buttermilk
and flour with cole slaw.
After wondering what to do with it, she topped the cole slaw with crispy fried onions which was really liked by all.
The process can be compared to a computer analyzing a chess game and producing a move or series of moves that a human
may have missed.
IBM'S WATSON TO HELP DOCTORS TO IDENTIFY TREATMENT OPTIONS
According to one expert, only 20 percent of the knowledge physicians use to diagnose and treat patients today is evidence
based. Which means that one in five diagnoses is incorrect or incomplete.
And consider that the amount of medical information available is doubling every five years and that much of this data is
unstructured. Physicians simply don't have time to read every journal that can help them keep up to date with the latest
advances. Given the growing complexity of medical decision making, how can healthcare providers address these problems?
Watson has the potential to transform healthcare research, how medical students learn and how payments are processed.
Physicians can use Watson to assist in diagnosing and treating patients by having it analyze large amounts of unstructured text
and develop hypotheses based on that analysis.
First, the physician might describe symptoms and other related factors to the system. Watson can then identify the key pieces
of information and mine the patient’s data to find relevant facts about family history, current medications and other existing
conditions. It combines this information with current findings from tests, and then forms and tests hypotheses by examining a
variety of data sources—treatment guidelines, electronic medical record data and doctors’ and nurses’ notes, as well as peer-
reviewed research and clinical studies. From here, Watson can provide potential treatment options and its confidence rating for
each suggestion.
Healthcare and business professionals have a positive perspective on the promise of Watson's transformative technology, and
its ability to completely change how patients interact with caregivers and consumers with brands. Watson can allow Health care
Professionals to personalize patient care in a way that's never been possible before.
Few Initiatives to tap Watson's potential in Healthcare are listed below
Memorial Sloan Kettering
Memorial Sloan Kettering trained Watson to synthesize vast amounts of data, such as physicians’ notes and reports, lab results
and clinical research, to help community physicians identify treatment options for cancer patients
Watson at Wellpoint, Inc.
Health benefits company Wellpoint saw an opportunity to apply IBM Watson in a way that could improve the quality and
efficiency of healthcare decisions.
Watson at MD Anderson
The University of Texas MD Anderson Cancer Center in Houston uses Watson's cognitive computing power to help clinicians
uncover insights from its patient and research information.
WatsonPaths
In collaboration with Cleveland Clinic, IBM Research is developing a cognitive computing tool designed to help physicians and
medical students make more informed and accurate decisions faster and to cull new insights from electronic medical records
(EMR).
6. 6/9
IBM'S WATSON TO HELP PLANNERS RECOMMEND BETTER INVESTMENTS
The challenges the financial services industry faces are complex. Regulatory measures, as well as social and governmental
pressure for financial institutions to be more inclusive, have increased. And customers the industry serves are more
empowered, demanding and sophisticated than ever before.
In addition, with so much financial information generated each day, it’s difficult to properly harness the right information to act
upon.
The solutions? Deeper client engagement and a better understanding of risk profiles and the operating environment.
Major financial institutions are already working with Watson to infuse additional intelligence into their business processes.
Watson is tackling data-intensive challenges across the financial services sector, including banking, financial planning and
investing.
DBS Bank's relationship managers advise their wealth-management clients by analyzing large volumes of such complex data
as research reports, product information, and customer profiles. DBS will apply Watson Engagement Advisor to analyze the
relationship managers’ growing corpus of investment knowledge, identify connections to customers' needs, offer better advice
and determine customers’ best financial options.
Watson can transform
Customer experiences via cost-effective, personalized advice, increasing customer satisfaction and attracting new capital.
Watson is already starting to be used in customer service and as a wealth advisor.
Financial analysis and make analysts more productive and insightful through the vast amount of information it analyzes.
Watson can also answer open-ended questions asked by users based on the data it has consumed.
Risk management and compliance by evaluating all cases against approved policies and guidelines and by understanding the
complexities of risk exposure.
IBM'S WATSON TO HELP RETAILERS TRANSFORM CUSTOMER RELATIONSHIP
Disruption is everywhere in retail today. Customers, empowered by mobile devices and social networks that give them readier
access to more information than ever before, have high expectations for service and satisfaction. And while today’s top retailers
use Big Data to keep up with those expectations, their bigger challenge is efficiently and effectively analyzing this growing
mountain of data for the insights that give them a competitive advantage.
With the power of IBM Watson’s cognitive computing, retailers can transform their business and re-imagine everything about
the way they connect, transact, and engage with consumers.
Watson’s cognitive computing capabilities of analyzing massive amounts of unstructured data can help retailers reinvent their
decision-making processes around pricing and purchasing. Today, a retailer using Watson can find insights in the data that
might have escaped their notice, rather than relying on gut instinct.
Further, Watson’s unique ability to understand and answer questions in natural language makes it a cost-effective and scalable
tool for analyzing and responding precisely to social sentiment, such as social interactions, blogs and customer reviews. And
like a human being, Watson learns from experience and improves with feedback.
Watson can help draw insights from reams of unstructured information to help deliver a better experience. When a retailer
understands its customers’ needs in greater detail, it can offer those customers more personalized and more satisfying
experiences, increasing loyalty and conversions.
Watson can transform
The shopping experience by providing immediate access to new forms of data to help consumers become more informed.
Merchandising and supply networks by diagnosing business issues that drive better decisions around product and pricing.
Sales operations by empowering associates with new information in real time to create more engagement and efficiency.
7. 7/9
IBM'S WATSON TO HELP GOVERNMENT TO HELP ITS CITIZENS
For local, regional and national government, the exponential rise of Big Data presents an enormous dilemma.
Today’s citizens are more informed and empowered than ever, and that means they have high expectations for the value of the
public sector serving them. And government organizations can now gather enormous volumes of unstructured, unverified data
that could serve their citizens—but only if that data can be analyzed efficiently and effectively.
IBM Watson’s cognitive computing may help make sense of this data deluge, speeding governments’ decision-making
processes and helping public employees focus on innovation and discovery.
Cognitive computing can help improve the service of the public sector in several ways, improving on slow and manual decision-
making processes by employing such capabilities as decision-management, predictive and content analytics, planning,
discovery, information integration and data management.
And Watson learns like a human. As it refines its own knowledge from its findings in vast sets of data and its interactions with
the employees using it, it helps public employees improve process and policy.
Watson helps deliver personal service to citizens navigating complex processes. From these interactions, Watson learns the
priorities of the public and helps inform policies that serve those interests. And with threats to security an ongoing problem,
Watson can uncover patterns of activity that can help an agency interpret and address abnormal usage that may suggest an
emerging problem.
Watson can transform
Citizens’ experience by providing cost-effective personalized advice that builds community engagement.
Policy and performance by helping employees deliver better service and make optimal decisions.
Public security by helping analysts and investigators discover the most relevant information.
Critical Evaluation of Strategy Adopted
IBM Announced a significant increase in its Analytics revenue through Strategic investments, New Skills and Capabilities.
Watson to generate $10 billion in annual revenue over the next decade, but it has only made $100 million since 2011 so far.
Overall, IBM's Watson Group announcement was extremely well thought out from both a short-term tactical and a long-term
strategic perspective. IBM has amassed all the right ingredients for success:
Dedication and Commitment in terms of:
• Manpower,
• Monetary investment,
• A well-developed partner ecosystem
• The right geographic location
The random element is whether the corporate and consumer customers embrace Watson? That remains to be seen.
However, Watson is off to a good start, with nearly 900 third-party developers signing on. Applications are the lifeblood of any
technology platform, and the early ISV enthusiasm for Watson augurs well for its success.
8. 8/9
IBM's decision to base the Watson Group in New York City's Greenwich Village is both practical and symbolic. "The
Village," as New Yorkers call it, long has been identified as the birthplace of leading-edge movements. Big Blue's Watson
headquarters is within walking distance of Wall Street and the financial district, as well as large hospitals and universities that
include many of the company's top customers in banking, healthcare, insurance and education.
It was a savvy move on IBM's part to locate the Watson BU within walking distance or a short bus or subway ride to many
potential customers. Making it convenient for them to visit the labs and get access to hands-on experience and training is a
savvy move on IBM's part. The decision to situate the Watson BU in the center of one of the world's top financial,
engineering and academic spots bodes well for sparking interest and generating revenue among a wide variety of business
professionals.
What Can Be Drawn from Above
Over the past several years, the company continuously has bolstered its position in cloud computing, mobility, security and
management services via a series of targeted acquisitions such as the SoftLayer purchase. Additionally, in the three years
since the Jeopardy! Challenge, IBM continuously has evolved the core Watson technology.
Mainstream adoption of Watson cognitive computing solutions should gain significant traction over the next two to three years.
If by 2016, IBM Watson Group is not generating substantial and recurring annual revenue, then there will be cause for concern.
In summary, IBM is positioning the Watson BU for success and doing everything within its power to lure prospective
enterprises and development partners to this powerful, emerging cognitive computing platform. The value of Big Data
is in its potential to help practitioners make better strategic and tactical decisions, run more streamlined and efficient
organizations, and deliver better products and services to customers. Vendors would be wise to remember that it is such
business value, not technology features per se, that will drive revenue in this market. In order to propel the Big Data market
forward and entice early mainstream adopters, Watson must align not just its marketing messages but product roadmaps to
this reality at the earliest
The very recent IBM-Apple deal may prove to be a landmark in history for WATSON and Siri. This will open new avenues to
showcase and market WATSON capabilities at a much affordable price and ease of use. Both IBM and apple are expected
to gain commercial and social benefits by venturing into the BLUE OCEAN which still remains to be tapped.
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