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Paradigm Shift to meet AI Demands

The demands  on product development teams for AI projects are significantly different from traditional software.

AI, their data and LLM produce systems that are nondeterministic. We don't build, test and deploy them, but rather we need to continuously learn, test and optimize our models, often utilizing tools and processes with significant automation.  

Trusted team members who understand what good outcomes look like and understand the model and the dataset are key to delivering on the promise of AI.  Traditional approach to QA, for example, can produce AI and LLM that hallucinate, providing made-up facts or incomplete answers. 

Digital Transformation Leadership

  

Digital transformation and distribution is reshaping entire industries in today’s global economy. In this dynamic environment, organizations must be agile and innovate with emerging technologies to generate new value propositions and create sustainable growth. Leaders will need to build new perspectives and capabilities to navigate this changing landscape and ensure that their organizations remain competitive. For digital transformation to succeed, it must go beyond the technology function. Aligning your teams and internal systems as well as influencing stakeholders to embrace new initiatives are the keys to success.

Program and Portfolio Strategy & Execution

Technology investments are increasing and the plethora of emerging technologies often makes understanding the business value derived from these investments difficult to measure.

Understanding the portfolio of projects, methodologies, risks, ability to measure progress and predict the delivery in these uncharted territories can be daunting.  Effective leadership requires one part technologist, one part visionary and one part financial analyst.

Business Value Management ensures the technology investment can predict, monitor and realize the value of your technology portfolio. 

The World is even less flat now.

Global teams, global norms, global leadership.

All present unique challenges and opportunities in technology leadership today.

The economics as changing, the boundaries are blurred and cross functional teams are even more global than ever.  Building trust and communications between sites and remote workers, while recognizing time-zones and language challenges are all required to dramatically increase your success.

Managing this environment for your competitive advantage requires experienced leaders.

Maximize the Return on your Technology Investment

 Managing technology investment strategically is essential for driving business transformation and achieving breakthrough results.   

Define Objectives and Metrics

Technology investment objectives should be clear: increase revenue, decrease costs or avoid a future liability.  

Quantify the business benefits, where possible, and use financial metrics.

Measuring results and using KPIs that the business can relate to and tie to business goals.

Measure Results

Measure and track the KPIs and determine if business value is being met.

Review post-project costs and understand changes and their impact on the projected business value.
Managing the technology and the costs spells the difference between achieving business results and another proof of concept. 

 We help our clients prove and measure the ROI of their technology investments through a structured approach.  By combining quantitative financial metrics with qualitative assessments, we provide clear evidence of the value generated and inform future technology decisions .


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