As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with embedded language translation features, but we haven’t reached the point where LLMs generate value outside of ..read more

We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly. Product-embedded or online support tools, such as virtual assistants, can drive more informed and efficient support interactions with client self-service. About 85% of execs say generative AI will be interacting directly with customers in the next two years. Those who implement self-service search into their sites an ..read more

In today’s dynamic and uncertain landscape, commerce strategy—what we might formerly have referred to as ecommerce strategy—is so much more than it once was. Commerce is a complex journey in which the moment of truth—conversion—takes place. This reality means that every brand in every industry with every business model needs to optimize the commerce experience, and thus the customer experience, to drive conversion rates and revenues. Done correctly, this process also contains critical activities that can significantly reduce costs and satisfy a business’ key metrics for success. The first step ..read more

Large language models (LLMs) may be the biggest technological breakthrough of the decade. They are also vulnerable to prompt injections, a significant security flaw with no apparent fix. As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.  What are prompt injection attacks, and why are they a problem? Prompt injections are a type of attack where hackers disguise ..read more

Change is inevitable in an organization; especially in the age of digital transformation and emerging technologies, businesses and employees need to adapt. Change management (CM) is a methodology that ensures both leaders and employees are equipped and supported when implementing changes to an organization. The goal of a change management plan, or more accurately an organizational change plan, is to embed processes that have stakeholder buy-in and support the success of both the business and the people involved. In practice, the most important aspect of organizational change is stakeholder ali ..read more

Deployable architecture (DA) refers to a specific design pattern or approach that allows an application or system to be easily deployed and managed across various environments. A deployable architecture involves components, modules and dependencies in a way that allows for seamless deployment and makes it easy for developers and operations teams to quickly deploy new features and updates to the system, without requiring extensive manual intervention. There are several key characteristics of a deployable architecture, which include: Automation: Deployable architecture often relies on automatio ..read more

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change. With 2024 on track to be the hottest year on record, data and AI can be applied to many areas to help supercharge sustainability efforts. We believe there are three core areas that every organization should focus on: sust ..read more

AI can be a force for good, but it might also lead to environmental and sustainability concerns. IBM is dedicated to the responsible development and deployment of this technology, which can enable our clients to meet their sustainability goals. “AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics Board member. “But it’s important to reap these benefits while minimizing the environmental impact. That means making more s ..read more

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work. While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fo ..read more

As technology expands, at TechD, we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. Through the implementation of generative AI we are able to expand our knowledge to many individuals easily, quickly and efficiently becoming a resource. In today’s rapidly evolving digital world, immediate responses are crucial for delivering outstanding user experiences. Our partnership with IBM facilitates the delivery of scalable solutions, rapidly implementable by organizations ..read more