Steve Jones

The Capgemini Research Institute's report, *"New Defenses, New Threats: What AI and Gen AI Bring to Cybersecurity,"* examines how artificial intelligence (AI) and generative AI (Gen AI) are reshaping cybersecurity. Cyberattacks have surged, with 92% of organizations experiencing breaches in 2023, up from 51% in 2021. These attacks—ranging from phishing and ransomware to deepfakes—are increasingly sophisticated, with direct and indirect damages often exceeding $50 million.

AI and Gen AI… Show more

The Capgemini Research Institute's report, *"New Defenses, New Threats: What AI and Gen AI Bring to Cybersecurity,"* examines how artificial intelligence (AI) and generative AI (Gen AI) are reshaping cybersecurity. Cyberattacks have surged, with 92% of organizations experiencing breaches in 2023, up from 51% in 2021. These attacks—ranging from phishing and ransomware to deepfakes—are increasingly sophisticated, with direct and indirect damages often exceeding $50 million.

AI and Gen AI amplify both risks and defenses. Threat actors exploit Gen AI for advanced phishing, malware, and social engineering attacks, expanding attack surfaces through conversational AI tools and shadow AI (unsanctioned employee use of AI). Gen AI solutions also face risks like data leaks, model drift, hallucinations, and prompt injection attacks. Organizations must secure the entire AI lifecycle, from data collection to deployment, to mitigate these vulnerabilities.

On the defensive side, AI is increasingly viewed as essential for cybersecurity, with over 60% of organizations leveraging it for threat detection, faster breach responses, and improved accuracy. Gen AI enhances threat simulations, regulatory compliance, and vulnerability management, while also automating routine security tasks to reduce analyst workload.

Adoption of AI and Gen AI is growing, with 40–50% of organizations piloting projects. Key recommendations include integrating AI into cybersecurity frameworks, improving infrastructure, training employees on responsible AI use, and adopting adaptive risk management strategies. By leveraging AI responsibly, organizations can strengthen defenses against a rapidly evolving cyber threat landscape. Show less

This report from Capgemini explores the transformative impact of Operational AI on business decision-making. It highlights how generative AI (Gen AI) is reshaping not only strategic planning but also day-to-day operations by empowering organizations to leverage data for real-time decision-making. As businesses move toward a 50% AI-powered future, the report emphasizes the importance of trust, operational accuracy, and the development of digital employees capable of executing specific tasks… Show more

This report from Capgemini explores the transformative impact of Operational AI on business decision-making. It highlights how generative AI (Gen AI) is reshaping not only strategic planning but also day-to-day operations by empowering organizations to leverage data for real-time decision-making. As businesses move toward a 50% AI-powered future, the report emphasizes the importance of trust, operational accuracy, and the development of digital employees capable of executing specific tasks. However, organizations must embed their culture, mission, and governance into these AI systems to ensure responsible operation. AI's value lies in its ability to act in real-world contexts, driving outcomes based on accurate, real-time data. Show less

The Capgemini report explores how generative AI (Gen AI) will reshape work, focusing on roles, leadership, and organizational structures. Gen AI will automate many entry-level tasks, pushing employees to focus on higher-level responsibilities like critical thinking and quality control. Managers and leaders will shift towards strategic roles, focusing on decision-making and collaboration with AI. Two potential organizational models, “hourglass” and “diamond,” are discussed, where AI augments… Show more

The Capgemini report explores how generative AI (Gen AI) will reshape work, focusing on roles, leadership, and organizational structures. Gen AI will automate many entry-level tasks, pushing employees to focus on higher-level responsibilities like critical thinking and quality control. Managers and leaders will shift towards strategic roles, focusing on decision-making and collaboration with AI. Two potential organizational models, “hourglass” and “diamond,” are discussed, where AI augments various layers of management. Upskilling, responsible AI governance, and integrating AI into workflows will be key for organizations. Show less

Today’s guest is Steve Jones, Executive Vice President of Data Driven Business & GenAI at Capgemini. Together with Emerj Senior Editor Matthew DeMello, Steve joins us on today’s program to examine the evolving landscape of AI development and the critical need for trust and ethical guardrails in deploying AI systems across enterprises. Drawing on insights from a recent VentureBeat event focused on AI transformation, Steve shares his perspective on the state of AI and the challenges that lie… Show more

Today’s guest is Steve Jones, Executive Vice President of Data Driven Business & GenAI at Capgemini. Together with Emerj Senior Editor Matthew DeMello, Steve joins us on today’s program to examine the evolving landscape of AI development and the critical need for trust and ethical guardrails in deploying AI systems across enterprises. Drawing on insights from a recent VentureBeat event focused on AI transformation, Steve shares his perspective on the state of AI and the challenges that lie ahead. Show less

Join Steve Jones and Balaji Genesan in a panel discussion to explore the intricacies of GenAI. Discover where GenAI is being implemented, its impact, and the leading industries driving its adoption. Learn essential actions and how technology can support these efforts. The discussion will then delve into the critical importance of security and governance for GenAI, highlighting which industries are at the forefront of protection and governance. Gain insights into actionable steps and the latest… Show more

Join Steve Jones and Balaji Genesan in a panel discussion to explore the intricacies of GenAI. Discover where GenAI is being implemented, its impact, and the leading industries driving its adoption. Learn essential actions and how technology can support these efforts. The discussion will then delve into the critical importance of security and governance for GenAI, highlighting which industries are at the forefront of protection and governance. Gain insights into actionable steps and the latest advancements in securing and protecting GenAI. Show less

The report, Data-powered enterprises: The path to data mastery, is based on surveys of 500 data executives and 500 business executives. It found that two-thirds of executives say that their organization now leverages this data for new products or services.

The report also found that while some challenges identified in the 2020 edition of the research persist, they have diminished, and new priorities—such as generative AI—have emerged.

According to the report, 60 percent of… Show more

The report, Data-powered enterprises: The path to data mastery, is based on surveys of 500 data executives and 500 business executives. It found that two-thirds of executives say that their organization now leverages this data for new products or services.

The report also found that while some challenges identified in the 2020 edition of the research persist, they have diminished, and new priorities—such as generative AI—have emerged.

According to the report, 60 percent of organizations have implemented pilots or early proofs of concept (PoCs) for generative AI initiatives using their enterprise data. However, 75% of organizations say that large-scale deployment of generative AI PoCs is a significant challenge.

Data-powered enterprises The path to data mastery also examines organizational readiness to incorporate generative AI into their processes. Only 40% of data executives believe their organizations are mature enough on non-technical foundations (such as culture, ethical guardrails, governance mechanisms, legal and regulatory frameworks) to harness generative AI. In contrast, over half (56%) consider themselves mature on technical foundations (data, technology, infrastructure, and technical skills).

The path to becoming a data-powered enterprise has become more demanding as the range of data use cases continues to expand. To find out more, download the full report. Show less

This report underscores the profound impact and accelerating adoption of generative AI across various industries. It identifies several key trends driving adoption and some nuances identified since last year:

1. **Ramping Up Investment and Adoption**:
- An impressive 80% of organizations have upped their generative AI investments since 2023.
- Notably, 24% of these organizations have woven generative AI into some or most of their operations, a sharp rise from just 6% a year… Show more

This report underscores the profound impact and accelerating adoption of generative AI across various industries. It identifies several key trends driving adoption and some nuances identified since last year:

1. **Ramping Up Investment and Adoption**:
- An impressive 80% of organizations have upped their generative AI investments since 2023.
- Notably, 24% of these organizations have woven generative AI into some or most of their operations, a sharp rise from just 6% a year ago.
- The retail sector, for instance, saw adoption soar from 17% to 40%.

2. **Broad Integration**:
- Generative AI is making waves across multiple functions—IT, sales, marketing, operations, R&D, finance, and logistics.
- Most companies are on board with employee use of generative AI, with a mere 3% enforcing a full ban.

3. **Real-World Benefits**:
- Companies are witnessing a 7.8% boost in productivity and a 6.7% lift in customer engagement and satisfaction.
- Generative AI is seen as a catalyst for revenue growth and innovation, driving strategic pivots and new business models.

4. **The Rise of AI Agents**:
- AI agents are shifting from mere tools to autonomous entities capable of independent task execution.
- A striking 82% of organizations aim to integrate AI agents within 1-3 years, expecting them to enhance automation, productivity, and customer service.

5. **Actionable Recommendations**:
- Establish solid data governance frameworks.
- Strengthen data platforms and build trust.
- Invest in strategic training and talent development.
- Leverage AI agents and stay ahead of emerging trends.
- Uphold ethical standards and tackle cybersecurity threats.

Generative AI isn't just about operational efficiencies—it's driving significant strategic changes across the board. The early adopters are already reaping tangible benefits in productivity and efficiency, while positioning themselves for future growth and innovation. Show less

The majority of GenAI projects don't move from PoC to Production, this is a challenge today but it is only getting more and more of an issue as the competitive advantage and potential of AI increases. This presentation covered how to change the way you think about AI from a business perspective to help drive greater success.

The idea of person centric networking has been around for a while, but it has faced a number of key challenges in gaining widespread adoption. As the number of connected devices, and particularly personally connected, devices continues to increase exponentially the complexity and security challenges of traditional network approaches will require a shift from provider centric to user centric networking.
The challenges to adoption of person centric networking have primarily been around… Show more

The idea of person centric networking has been around for a while, but it has faced a number of key challenges in gaining widespread adoption. As the number of connected devices, and particularly personally connected, devices continues to increase exponentially the complexity and security challenges of traditional network approaches will require a shift from provider centric to user centric networking.
The challenges to adoption of person centric networking have primarily been around ease-of-use, ease-of-configuration and ease of service portability. Generative Al is showing the potential to address these issues by providing mechanisms to dynamically engage and create configurations and solutions that previously required detailed engineering effort. The experience of users today is of a mountainous network of different networks, services and providers. This paper covers how Generative Al developments are already impacting certain areas and what is required for the shift from physical to person centric to be complete and present people with a "personal flat earth" from a networking perspective. Show less

A quick primer in why data ecosystems need us to think beyond our walls on how to collaborate around data

The future of business is about how organizations collaborate around data. This means that Data Supply Chains are going to at least as important as physical supply chains in the future data driven market.

The key question in any COVID-19 response should not only be how can we get our employees back to work? Rather, it is getting back to the offices and facilities to make our businesses more productive and staying at those locations. All the while, avoiding scenarios where unmanaged response leads to health risks for employees and risk for the business

The new world of insight-driven business enables companies to become active participants in a long-term conversation with customers. Instead of being limited to transactional processes or an omnichannel approach, they can move toward conversations that deliver outcomes.

The production line was one of the great innovations in the history of manufacturing. As Big Data changes from being a niche custom solution to being the fabric of a modern Digital business so industrialisation needs to be introduced to transform the pace and consistency of information and analytic service delivery.

Everyone understands what big data is, but few people understand the full power of data. The power and challenge of Big Data can be reduced to its ability to predict and manage edge cases, to understand how to react when something happens. To make the unusual usual and be able to handle it.

Our study of 1,000 senior business leaders demonstrates the extent to which big data sources and technology are being adopted across different sectors and regions of the world. We explain the impact on businesses and markets and how the acquisition of data is breaking down traditional industry boundaries. We identify how businesses are adapting to deal with this and what organizations need to do to make big data work for them.

Traditional security approaches aren't up to the challenges of cyber crime and big data. Fortunately Big Data represents not only a threat but also an opportunity as we can leverage new mathematical approaches to identify threats before they become issues.

The Internet of Things is a growing opportunity for organizations, one that is built around the ability to analyze and react to information at two different paces. The first is at the pace of the ‘thing’ itself, to tune, to optimize and to help it react more effectively. The second is the pace of the business, to reduce costs, optimize outcomes and better assure its future.

Over the past 20 years, enterprises have been fairly successful in combating “the threats you can see”. Measures have included antivirus, firewalls, access controls, and physical security of the data center, along with Governance, Risk and Compliance (GRC) methodologies.What most organizations have yet to do is find a way tackle internal threats from employees and others who operate within their approved authority, but start to abuse delegated business privileges and rights.
Capgemini offers… Show more

Over the past 20 years, enterprises have been fairly successful in combating “the threats you can see”. Measures have included antivirus, firewalls, access controls, and physical security of the data center, along with Governance, Risk and Compliance (GRC) methodologies.What most organizations have yet to do is find a way tackle internal threats from employees and others who operate within their approved authority, but start to abuse delegated business privileges and rights.
Capgemini offers a solution that can spot anomalous and suspicious behavior by applying advanced, machine learning algorithms to a broad and deep big data set. Through the application of innovative data science techniques to huge volumes of data, you can detect atypical patterns of behavior fast, and often take action before a threat becomes critical. Show less

Big airlines must fly beyond legacy GDS technology and disrupt their own models before rivals do it for them. Short article discussing the challenges and opportunities of digitization in the airline industry.

An FT article that discusses the impact of Snowden on how we think about security: what do do when a rogue employee does what they are ALLOWED but not what the SHOULD. How new approaches to security are helping catch the rogue employee without requiring businesses to lock-down everything.

Capgemini has always taken a business rather than technically focused approach to information. With the Business Data Lake we and Pivotal started from a simple question: What does the business want to see?

From that question came a recognition that traditional approaches are more about IT cost control than delivering business value.

What is clear from our research is that many companies are already starting a transformation and seeing significant new business value from breaking… Show more

Capgemini has always taken a business rather than technically focused approach to information. With the Business Data Lake we and Pivotal started from a simple question: What does the business want to see?

From that question came a recognition that traditional approaches are more about IT cost control than delivering business value.

What is clear from our research is that many companies are already starting a transformation and seeing significant new business value from breaking out of traditional information silos such as the enterprise data warehouse. The majority, however, are suffering frustration with their current approaches, most notably the delivery methods of IT, and are not realizing the value that they say is there.

About 45% of respondents complain that the current development cycle for new analytics is too long and does not match their business requirements. Over half (53%) consider the speed of their organization’s insight generation to be constrained by its IT development process.

This report outlines many of the challenges, and solutions to how companies can remove that frustration and transition to a new information landscape – one which works in harmony with the business. Show less

FT article on how previous approaches to IT have ignored the heterogeneity in business and tried to force single solutions, and how new approaches are required enabled by new technologies.

Operational reporting has long been a challenge for enterprises – how to meet local reporting needs while focusing on an enterprise context. The Pivotal Business Data Lake solves this conundrum – it is no longer a question of operational versus enterprise views. It becomes simply a question of finding the right view on data to meet a business need.

Every company is concerned about the rising costs of EDWs and to better enable them to be successful in a modern business as the demands of big data and mobile or transactional access increase. Pivotal’s Business Data Lake help you address that challenge by optimizing the data within your EDW and providing you with a way to add big data analytics without the cost of scaling the EDW to process big data volumes.

The Business Data Lake allows organizations to store both structured and unstructured data to be used across the organization, applying corporate governance principles only to the elements required and letting business units achieve their all-important KPIs and business objectives.

The Business Data Lake is a new way to deliver information for the enterprise based around four simple principles:

Store everything
- Encourage local
- Govern only the common
- Treat global as a local view
Principles that match the way business works today and now principles that can be delivered efficiently in technology using the Business Data Lake which combines Pivotal's technology and Capgemini's information governance and delivery methods.

The Business Data Lake is a new approach to information management, analytics and reporting that better matches the culture of business and better enables organizations to truly leverage the value of their information.

Traditional retailers have a choice. They can either allow new technology to erode their market share, or they can use it to create much more visceral experiences for their customers. The companies at the right end of the digital maturity curve are the ones that can demonstrate their ability to respond intelligently to developments on the fly and build deeper, more profitable customer relationships with every new piece of information. For retailers, this isn’t solely a matter of speeding up… Show more

Traditional retailers have a choice. They can either allow new technology to erode their market share, or they can use it to create much more visceral experiences for their customers. The companies at the right end of the digital maturity curve are the ones that can demonstrate their ability to respond intelligently to developments on the fly and build deeper, more profitable customer relationships with every new piece of information. For retailers, this isn’t solely a matter of speeding up existing customer processes; it is a matter of reinventing them. Show less

Article about how Big Data and analytics helps business decision making

How concentrating on small improvements can add up to domination in a market.

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For companies, this jumble of new and unwieldy information may be a challenge, but it’s also a huge opportunity. According to a recent Capgemini study with the… Show more

High quality global journalism requires investment. Please share this article with others using the link below, do not cut & paste the article. See our Ts&Cs and Copyright Policy for more detail. Email [email protected] to buy additional rights. http://www.ft.com/cms/s/0/de15414e-ebad-11e1-985a-00144feab49a.html#ixzz2IAJqf1sI

For companies, this jumble of new and unwieldy information may be a challenge, but it’s also a huge opportunity. According to a recent Capgemini study with the Economist Intelligence Unit, the majority (58 per cent) of senior executives rely on unstructured data analysis to make business decisions. The more data companies have to analyse, the greater their ability to unearth valuable insight. Show less

Every business leader knows that in today’s knowledge economy, it is essential to take control of information to make decisions with confidence. The challenge is to quickly identify what should be retained, avoid duplication where possible, and make use of the insights being generated.

The amount of data being created by organizations is increasing exponentially every year and is not something that companies can opt out of. The challenge is therefore to quickly identify what should be retained, avoid duplication where possible, and make use of the information that is being generated. Big Data is not about acquiring data from outside of an organization; it’s about combining the Big Data being created internally with external Big Data sets.

Big Data is, therefore, about… Show more

The amount of data being created by organizations is increasing exponentially every year and is not something that companies can opt out of. The challenge is therefore to quickly identify what should be retained, avoid duplication where possible, and make use of the information that is being generated. Big Data is not about acquiring data from outside of an organization; it’s about combining the Big Data being created internally with external Big Data sets.

Big Data is, therefore, about being able to access and leverage much larger information sets than ever before in order to gain greater insight into markets and opportunities. At the heart of Big Data is the ability to ask questions about what will happen and receive more accurate answers than has been possible until now. Show less

Retail is a competitive business and in the modern world the effective exploitation of information is a critical factor for business success. However, despite the fact that the retail sector pioneered the concept of mastering and controlling key pieces of business information, in many areas of the industry vital information remains beyond the control of the business.

An effective business case for master data management (MDM) communicates the problem of fragmented and contradictory data in terms that are relevant to business decision-makers.

Much like master data itself, an MDM business case is ideally complete, reliable and timely. This white paper outlines the key considerations that IT professionals should keep in mind when formulating an MDM business case.

Every successful business needs comprehensive visibility into their full relationship with their customers. Too many companies have increased costs from flying blind in seemingly routine, every day customer interactions. Treating all customers as equal doesn’t work so businesses need to take control of the problem.

Social media is the current buzzword in marketing and IT, and generating a significant amount of both interest and hot-air. The reality is that social media does not represent a revolution in marketing or customer engagement but it does represent a significant evolution, and one that presents businesses with greater opportunities. In order to really leverage social media, organizations need to stop looking at it as a separate world and look at how the normal processes of customer identification… Show more

Social media is the current buzzword in marketing and IT, and generating a significant amount of both interest and hot-air. The reality is that social media does not represent a revolution in marketing or customer engagement but it does represent a significant evolution, and one that presents businesses with greater opportunities. In order to really leverage social media, organizations need to stop looking at it as a separate world and look at how the normal processes of customer identification and acquisition can be extended to incorporate the social world.
Treating social media as another enterprise information asset and incorporating it into the overall enterprise information map will deliver the benefits expected from social media marketing but even more so, will enable the collaboration of physical, electronic and social marketing, and provide risk and servicing areas with better information on the customer and how they behave. Show less

In the modern business, the volume of information is increasing and the value of that information is becoming ever more critical to the business’s success. The reality though is that over 80% of companies are relying on inaccurate management reports and that most organizations find themselves drowning in data. Although there are a large number of different challenges in turning data into information, there is one common element which drives problems in one third of customer service… Show more

In the modern business, the volume of information is increasing and the value of that information is becoming ever more critical to the business’s success. The reality though is that over 80% of companies are relying on inaccurate management reports and that most organizations find themselves drowning in data. Although there are a large number of different challenges in turning data into information, there is one common element which drives problems in one third of customer service interactions, 30% of brokerage transactions and which drives up to $50bn in costs within the US retail supply chain alone – poor Master Data Management. Show less

Business Level Agreements require a business framework within which to work. They additionally require an understanding of what impact an outsourcing partner can have in the delivery of a service. By understanding the measures and the most effective charging model, it is possible to free the customer from technical concerns and allow them to focus on operating their business effectively.
Business Level Agreements for IT represent understanding the business service, understanding the… Show more

Business Level Agreements require a business framework within which to work. They additionally require an understanding of what impact an outsourcing partner can have in the delivery of a service. By understanding the measures and the most effective charging model, it is possible to free the customer from technical concerns and allow them to focus on operating their business effectively.
Business Level Agreements for IT represent understanding the business service, understanding the measures, understanding the charging model and finally constructing a contract that motivates the partner in line with the business objectives. Show less

The challenge of portfolio management has been summed up in the extensive research conducted by the former CIO of the US Department of Defense, Paul A. Strassmann. He demonstrated there is no relation between information management per employee and return on shareholder equity. He also showed there is no relation between profits and annual IT spending. Thus, the key decision of portfolio management should not center on how much to spend but on what to spend on. The goal is to create a portfolio… Show more

The challenge of portfolio management has been summed up in the extensive research conducted by the former CIO of the US Department of Defense, Paul A. Strassmann. He demonstrated there is no relation between information management per employee and return on shareholder equity. He also showed there is no relation between profits and annual IT spending. Thus, the key decision of portfolio management should not center on how much to spend but on what to spend on. The goal is to create a portfolio management approach in which “decisions on whether to invest in IT are based on potential return, and decisions to terminate or make additional investments are based on performance, much like an investment broker is measured and rewarded based on managing risk and achieving results.”

The challenge for any CIO, but particularly one faced with the requirement to create more value rather than just to cut costs, is to develop a balanced portfolio that allocates IT funding in a targeted, controlled and measurable way. Show less

Software as a Service represents turning technology into a utility capable of delivering both the reliability and costing model that would be expected of an electricity provider.
SaaS provides a bridge between the technology-based decisions of in-house IT and the large-scale outsourcing of BPO. It helps IT to drive business-based costing while retaining intellectual property and control at the business level. By providing that bridge, greater opportunities are created for new business… Show more

Software as a Service represents turning technology into a utility capable of delivering both the reliability and costing model that would be expected of an electricity provider.
SaaS provides a bridge between the technology-based decisions of in-house IT and the large-scale outsourcing of BPO. It helps IT to drive business-based costing while retaining intellectual property and control at the business level. By providing that bridge, greater opportunities are created for new business models and partnerships.
SaaS is not so much about “Software” as a service as it is about providing Business Service as a utility. Show less

Traditional IT applications are based around a premise that a person will interact with a system and that any interaction with third parties will be mediated and managed by the computers being used.

The model is derived from previous paper-based approaches, which have simply been replicated by computers, and so in reality represents a model that could be said to be over 1,000 years old. The next generation of IT has moved away from this model towards people-centric environments, which… Show more

Traditional IT applications are based around a premise that a person will interact with a system and that any interaction with third parties will be mediated and managed by the computers being used.

The model is derived from previous paper-based approaches, which have simply been replicated by computers, and so in reality represents a model that could be said to be over 1,000 years old. The next generation of IT has moved away from this model towards people-centric environments, which are based around the simple idea that IT systems should enable collaboration between people.

The goal of this next generation of IT is to be invisible and to be provisioned, managed and used in line with how people interact with each other and with information. Computing is seen as the mechanism and not the goal. This paper describes the changes that the people-centric model will drive in IT and in particular how Capgemini and Google are at the forefront of driving that change. Show less

Business and IT often inhabit different worlds with neither entity quite
understanding what the other is doing. To the business, IT represents a myriad of acronyms and expense while, in the eyes of IT, business does not express its requirements clearly enough. The opaque nature of the relationship between business and traditional IT has led to the explosion of “shadow IT”; IT that is developed directly by the business, outside of the control of the IT department.
Mashup technologies are… Show more

Business and IT often inhabit different worlds with neither entity quite
understanding what the other is doing. To the business, IT represents a myriad of acronyms and expense while, in the eyes of IT, business does not express its requirements clearly enough. The opaque nature of the relationship between business and traditional IT has led to the explosion of “shadow IT”; IT that is developed directly by the business, outside of the control of the IT department.
Mashup technologies are often promoted as the latest technology gizmo at conferences and in IT journals, yet this omits the real point of any new technology; namely, how can a business utilize the technology to deliver an advantage. Mashups represent a way for shadow IT, and hence business operations, to be integrated into the overall IT structure and provide the impetus and approach for the broader transformation of the IT landscape from IT-centric cost towards the provision of business services and business value. Show less

Most companies have historically viewed IT outsourcing as a cost-reduction play, simply a matter of transferring assets over to a provider who has the scale to deliver the service cheaper. Though justified by this cost reduction, this has often been at the expense of flexibility. The most innovative companies, however, have historically regarded outsourcing as a way to focus on their core business and differentiation, and as an enabler to growth. The ongoing shift from IT as business cost to IT… Show more

Most companies have historically viewed IT outsourcing as a cost-reduction play, simply a matter of transferring assets over to a provider who has the scale to deliver the service cheaper. Though justified by this cost reduction, this has often been at the expense of flexibility. The most innovative companies, however, have historically regarded outsourcing as a way to focus on their core business and differentiation, and as an enabler to growth. The ongoing shift from IT as business cost to IT as business value means that more companies need to learn the lesson of effective outsourcing. Treating outsourcing as merely a cost-reduction mechanism can prevent innovation and slow down business growth. The objective, therefore, is to use Outsourcing as a platform for innovation; this means shifting away from seeing IT outsourcing as responsible for just the operation of systems and towards a full lifecycle view of outsourcing based on the IT and business services that are being provided. Show less

Major changes in technology have not been driven by the technologies themselves but by the change in thinking that they enabled. OO design changed software by changing thoughts away from procedures and onto real world "things". This book argues that for SOA to succeed we must move our thoughts away from the implementation technologies and towards the "what" of the business. Using a straight-forward, pictorially driven, methodology the book explains who to discover what the business services… Show more

Major changes in technology have not been driven by the technologies themselves but by the change in thinking that they enabled. OO design changed software by changing thoughts away from procedures and onto real world "things". This book argues that for SOA to succeed we must move our thoughts away from the implementation technologies and towards the "what" of the business. Using a straight-forward, pictorially driven, methodology the book explains who to discover what the business services really are and how to construct an overall business service architecture. The book covers defining the Business Service Architecture, how to classify services for business value and delivery, understanding the role of IT in supporting the architecture, how project and portfolio management needs to change, how to use a Service Architecture to identify KPIs, and how and when to use Business Process in a service architecture. Show less

The methodologies such as extreme programming and the Rational Unified Process claim that they work with service-oriented architecture, but neither was designed with SOA in mind. Both predominately focuses on a project's delivery, not on the system's initial conceptualization. For service definition to succeed, there must be tooled support for the automatic flow of information among architects, designers, developers, maintainers, and, most importantly, the client. XML and Web service standards… Show more

The methodologies such as extreme programming and the Rational Unified Process claim that they work with service-oriented architecture, but neither was designed with SOA in mind. Both predominately focuses on a project's delivery, not on the system's initial conceptualization. For service definition to succeed, there must be tooled support for the automatic flow of information among architects, designers, developers, maintainers, and, most importantly, the client. XML and Web service standards are helping architects improve the definition of service and provide a consistent framework for realizing service-oriented architecture's promises. Show less

The airline industries are going through a period of change and face many challenges to keep consumers loyal to their services and to offer differential services with low production cost. The rise of J2ME mobile phones presents an opportunity and a challenge to airline companies, the chance to increase information available to passengers to reduce dissatisfaction, and the challenge of how to produce applications for a wide variety of devices. It also enables companies to offer additional… Show more

The airline industries are going through a period of change and face many challenges to keep consumers loyal to their services and to offer differential services with low production cost. The rise of J2ME mobile phones presents an opportunity and a challenge to airline companies, the chance to increase information available to passengers to reduce dissatisfaction, and the challenge of how to produce applications for a wide variety of devices. It also enables companies to offer additional services via an application that is resident on the consumer?s own phone. Using the security and storage options available on J2ME devices, airlines, and other companies, can use mobile phones as a mechanism to enable "least resistance" selling. This paper details how one prototyping exercise demonstrated how J2ME mobile phones, both on the original MIDP 1.0 and the more advanced MIDP 2.0 offered a clear business and cost advantage to one UK based airline. Hopefully by the time this paper is read the prototypes will be functioning systems that are being used by consumers. Show less

Web Services are an established technology established under a new guise.