Unlocking the Potential of Generative AI: Power, Control, and Risks


In his keynote address, Imran Hashmi, the leader of Engineering Sales for Americas, delved into the captivating world of generative AI and its remarkable impact. The adoption rate of generative AI has exceeded expectations, providing end-users with unprecedented power and control in various domains. From generating ideas for special occasions to comprehending complex topics and even assisting in debugging code, generative AI has the potential to revolutionize how we interact with technology. However, as Imran Hashmi pointed out, along with its great potential, generative AI also brings risks and challenges that need to be addressed.

The Power and Control of Generative AI

Generative AI is a game-changer, empowering individuals in countless ways. It serves as a valuable assistant for generating ideas and content for a range of occasions, from birthdays to anniversaries and weddings. It provides writing support, aids in comprehending complex subjects like quantum computing, and even assists with code debugging. The possibilities seem endless, and we have only begun to scratch the surface of what generative AI can achieve.

Risks and Limitations

While generative AI offers immense potential, it's crucial to recognize its limitations and potential risks. Imran Hashmi shared an incident involving a reporter who interacted with a generative AI platform, pretending to be a 13-year-old girl seeking advice. The AI provided inappropriate suggestions, failing to grasp the context that the girl was interacting with a much older individual. This highlights the AI's limitations in understanding context and factual information. It serves as a reminder that blindly trusting generative AI can have unintended consequences.

The Danger of Blind Trust

One of Imran Hashmi's primary concerns regarding generative AI is its ability to speak authoritatively, leading users to trust it blindly. While generative AI can provide valuable insights and support, it's important to remember that it lacks true understanding and consciousness. Asking a generative AI if it can be trusted will yield a simple and honest response: “No.” Users must exercise caution and not solely rely on generative AI without critical thinking and human judgment.

Building Blocks for Success

To navigate the evolving landscape of generative AI, Imran Hashmi outlined three essential building blocks for businesses to consider in their AI strategies.

  1. Large Language Models: Large language models like ChatGPT have played a significant role in unlocking the potential of generative AI. These models have demonstrated the power of natural language processing and understanding, enabling more sophisticated interactions between humans and machines.
  2. Foundational Models with Transformers: Foundational models that leverage transformers have proven to be invaluable in utilizing unlabeled data effectively. These models form the backbone of generative AI systems, enhancing their ability to generate high-quality content and insights.
  3. Generative AI for New Content: Generative AI holds tremendous potential for creating new content across various domains. By harnessing the capabilities of generative AI, businesses can enhance creativity, productivity, and innovation.

's Contribution and Sustainability Focus

Imran Hashmi highlighted IBM's active contribution to the development of generative AI models. IBM not only offers a range of AI models, including the foundational ones discussed, but also focuses on sustainability. IBM's sustainability group, responsible for engineering products, has developed a “Requirements” model that ensures compliance with standards, minimizes ambiguity, and mitigates risks.


Generative AI has opened up a world of possibilities, providing power and control to end-users across industries. While its potential is immense, it's essential to approach generative AI with caution and recognize its limitations. Blindly trusting AI without critical thinking can lead to unintended consequences. By leveraging the building blocks of large language models, foundational models with transformers, and generative AI for new content, businesses can unlock the full potential of AI. IBM's contribution and sustainability focus further exemplify the commitment to responsible and innovative AI development. To explore IBM's offerings and engage further, visit or reach out to Imran Hashmi directly at Generative AI is shaping the future, and it's up to us to navigate its challenges and harness its immense power for the benefit of all.

Imran Hashmi


Put AI to work with WatsonX

Imran Hashmi IBM ELM engineering lifecycle management

We are currently experiencing a critical moment in history where innovative technologies, particularly AI, are fundamentally reshaping businesses and society as a whole.

The majority of AI systems currently in use are based on machine learning (ML), and offers the most comprehensive range of ML deployment options for businesses.

The emergence of generative AI and foundation models has enabled unprecedented scalability in AI. It is anticipated that by 2025, foundation models will power a significant portion of AI solutions within enterprises.

As businesses adopt AI, they must consider three crucial factors: the quality of the models, the creation of unique business value, and the integration of AI into existing business processes.

To succeed in the AI landscape, our clients need to think about both the present and the future. IBM goes beyond language capabilities by developing foundation models trained on diverse types of business data.

Our watsonx platform, consisting of,, and watsonx.governance, empowers clients to build, train, optimize, and implement AI solutions across their organizations, utilizing critical and trustworthy data from any source.

However, AI alone is not sufficient. In the past, transformative technologies only unlocked their true potential when they converged with other technologies.

Moreover, trust is of utmost importance. If our clients are expected to deliver essential services or provide accurate information, insights, and recommendations at scale, their systems cannot afford to be unreliable, contain errors, or exhibit biases.

Additionally, focus is crucial. To effectively harness the power of AI, our clients must align their data strategy with their overall business strategy. The more tailored and customized an AI model is to their specific business needs, the more value it can create.

watsonx, powered by Red Hat OpenShift, offers versatility and can run on any platform.

With watsonx, clients and partners can generate unique business value.

By leveraging watsonx, clients gain access to a comprehensive toolkit, advanced technology, robust infrastructure, and expert consultation services to build their own AI models or refine and customize existing ones, enabling scalable AI deployment for business success.


SAFe® 6.0 & IBM ELM/ ALM

Scaled Agile has released ® 6.0, which offers the latest Lean-Agile practices to help enterprises deal with rapidly changing challenges and opportunities. This update is a comprehensive improvement from version 5.1, with many new advanced practices, and updates to the Big Picture and terminology. Engineering Lifecycle Management (ELM) 7.0.2 now supports two new predefined process templates for SAFe 6.0: Full SAFe 6.0 and Essential SAFe 6.0. These templates can be used to configure the tooling environment for SAFe Portfolio, Large Solution, Portfolio, or Essential SAFe 6.0 configuration in ELM.

Imran Hashmi IBM ELM engineering lifecycle management

Some of the noteworthy new items in the SAFe 6.0 templates are:

  1. OKRs support for defining clear goals and measurable outcomes.
  2. Updates to strategic themes for improved business context and portfolio strategy.
  3. New flow metrics reports for accelerating value flow.
  4. Terminology updates for simplicity and clarity.
  5. Updated roles and permissions to empower teams and clarify responsibilities.
  6. Updated guidance for working with SAFe 6.0 templates.

SAFe 6.0 templates also support the SAFe 6.0 data model, which includes lean budgeting for organizations to adopt a financial governance approach that funds value streams instead of projects, accelerating value delivery and reducing overhead and other costs. SAFe 6.0 Flow Metrics JRS reports help measure the flow of business value through all the activities involved in producing business value through a value stream. The guidance on roles, key collaborations, and responsibility wheel has been updated to help teams improve their performance and better support the organization's goals. SAFe 6.0 templates have been updated to reflect the recommended terminology changes by SAFe 6.0.



Requirements Management Solution: A Superior Choice over Jama for Requirement Management

When it comes to requirement management solutions, IBM stands out as a trusted and powerful provider with its comprehensive suite of tools. While there are alternatives like Jama on the market, IBM's offering surpasses Jama in several key aspects. In this article, we will explore why IBM Requirements Management Solution is a superior choice over Jama for requirement management.

  1. Industry-Leading Experience and Expertise

IBM has a long-standing presence in the software development industry, and its Requirements Management Solution has been refined and perfected over the years. With a proven track record and extensive expertise, IBM understands the challenges organizations face in managing requirements effectively. Their solution reflects this deep understanding, making it a reliable and trusted choice for requirement management.

  1. Scalability and Enterprise-Ready Capabilities

IBM Requirements Management Solution is highly scalable, making it suitable for organizations of all sizes and complexities. Whether you're a small team or a large enterprise, IBM's solution can handle the volume and complexity of your requirements. It supports hundreds of users working collaboratively, ensuring seamless communication and efficiency across the organization.

  1. End-to-End Traceability and Impact Analysis

One of the standout features of IBM's solution is its robust end-to-end traceability capabilities. Requirements are seamlessly linked to design, development, and testing artifacts, enabling teams to understand the impact of changes throughout the software development lifecycle. This level of traceability ensures that teams can effectively manage changes, maintain alignment, and mitigate risks associated with requirement changes.

  1. Collaboration and Stakeholder Engagement

IBM's solution places a strong emphasis on collaboration and stakeholder engagement throughout the requirement management process. It provides tools that facilitate effective communication, feedback, and collaboration among team members, stakeholders, and customers. This collaborative approach ensures that all perspectives are considered, resulting in a more comprehensive and accurate set of requirements.

  1. Integration with Other Tools and Ecosystem

IBM Requirements Management Solution integrates seamlessly with other tools in the IBM ecosystem, such as Rational Quality Manager and Rational Team Concert. This integration enhances the overall development process by providing a unified environment where requirements, testing, and project management activities can be synchronized. The integration capabilities of IBM's solution provide a significant advantage over Jama, allowing for a more streamlined and efficient workflow.

  1. Compliance and Regulatory Standards

Compliance with industry regulations and standards is crucial for many organizations. IBM Requirements Management Solution offers built-in compliance features and supports various industry standards, including ISO 26262, DO-178B/C, and IEC 61508. This compliance assurance is essential for organizations operating in safety-critical industries, where adherence to regulatory requirements is mandatory.


While Jama is a capable requirement management solution, IBM Requirements Management Solution emerges as a superior choice due to its industry-leading experience, scalability, end-to-end traceability, collaboration capabilities, integration with other tools, and compliance features. The power and reliability of IBM's solution make it the preferred choice for organizations seeking a robust and comprehensive requirement management solution. When it comes to managing requirements effectively and efficiently, IBM Requirements Management Solution outshines Jama, providing organizations with the tools they need to succeed in their software development projects.


Why IBM Requirements Management is best in the market.

Requirements Management is a comprehensive solution that allows organizations to manage requirements throughout the software development lifecycle. This software is designed to help teams collaborate, manage and track requirements, and ensure that products are developed according to their specifications. In this article, we will explore the key features of IBM Requirements Management and how it can benefit your organization.

Features of IBM Requirements Management

  1. Requirements Traceability: IBM Requirements Management provides end-to-end traceability, ensuring that requirements are linked to their corresponding design, development, and testing artifacts. This feature helps teams to understand the impact of changes to requirements and provides complete visibility into the development process.
  2. Collaboration: IBM Requirements Management promotes collaboration by allowing stakeholders to contribute to requirements at any stage of the development process. This feature ensures that everyone has a voice in the development process and that requirements are prioritized based on the needs of the organization.
  3. Agile Requirements Management: IBM Requirements Management supports Agile methodologies by allowing teams to prioritize and manage requirements using Agile techniques such as user stories, sprints, and backlog management.
  4. Change Management: IBM Requirements Management provides robust change management features that allow teams to track changes to requirements, analyze their impact, and manage approvals and sign-offs.
  5. Requirements Analysis: IBM Requirements Management provides tools for analyzing requirements to ensure they are complete, concise, and unambiguous. This feature helps teams to identify inconsistencies or conflicts in requirements and address them before development begins.

Benefits of IBM Requirements Management

  1. Improved Collaboration: IBM Requirements Management helps teams collaborate more effectively by providing a single platform for managing requirements. This feature ensures that everyone has access to the same information, reducing the risk of miscommunication and misunderstandings.
  2. Increased Efficiency: IBM Requirements Management streamlines the development process by providing tools for managing requirements, change management, and analysis. This feature reduces the time and effort required to develop software products and ensures that they are delivered on time and within budget.
  3. Improved Quality: IBM Requirements Management helps teams to develop high-quality software products by ensuring that requirements are complete, accurate, and consistent. This feature reduces the risk of defects and ensures that products meet the needs of the organization and its stakeholders.
  4. Reduced Risk: IBM Requirements Management reduces the risk of errors and delays by providing end-to-end traceability and change management features. This feature ensures that requirements are well-defined and that changes are carefully managed, reducing the risk of unexpected consequences.


IBM Requirements Management is a comprehensive solution for managing requirements throughout the software development lifecycle. This software provides tools for collaboration, change management, analysis, and traceability, helping teams to develop high-quality software products on time and within budget. If you're looking for a solution to manage requirements more effectively, IBM Requirements Management may be the solution you need.