Blog

These days, a growing number have branded themselves as AI ( Artificial Intelligence )

Consultants. In reality, AI has long since arrived in companies. Whether it is in developing new services, process automation and data analysis, it holds huge potentials.

Organizations having obtained basic knowledge about AI seek to find out which applications would fit its goals. This is where consultants come to play – identifying, evaluating and implementing AI application scenarios profitably, taking into account both technical and organizational requirements and being abreast with the latest trends and possibilities.

A few insights into AI Consulting:

Beyond pure technical perspective- AI is an interdisciplinary approach that aligns technical innovation with business requirements.

1. Beyond efficiency – Solutions are designed that are not only efficient but likewise create strategic value.
2. Industry adaptation – in the traditional consulting environment, each industry presents its own challenges requiring specific expertise and customized solutions; so does in the AI consulting arena.
3. Ethically justifiable – Ethics is playing a crucial role in AI Consulting drawing from its likely impact on the economy and society. It encompasses handling of sensitive data and hallucinations ( some call it algorithmic bias) and taking into account regulatory mandates on data privacy and protection.

To those aiming to be proficient in AI consulting, what should be in your playbook?

1. Proof of Concept – by doing requirements analysis and feasibility studies to answer the basic question how the proposed AI solution can be implemented technically, organizationally and economically. Others call proof of concept as requirements analysis and feasibility studies or a business case.
2. Road Map Creation aligned to the company’s goals and resources, implementation at the right time with the right technologies and tools.
3. Model and Data Analysis to effectively evaluate sources of data, select suitable AI models and algorithms.
4. Implementation and integration that require collaboration among data engineers, software developers and other technical experts.
5. Change Management – by imparting AI basic knowledge, best practices, demonstrating application scenarios to the organization’s employees and managers.

The skills set of the AI consultant is technology and management combined. It involves innovatively integrating transformative solutions into the strategic fiber and culture of the organization.