AI technologies are becoming standard across industries. Organizations are exploring select opportunities and implementing a few use cases while becoming an AI-fueled organization. Though this is a welcoming initiative for AI implementation, an organization must rethink the way they are implementing technology in their business so that they can be called the market makers.
It is critical to consider AI tools, machine learning techniques, and other cognitive tools to deploy systematically across every core process. Implementing AI will become a strategy and fundamental expectation in due course. At this juncture, the organizations must have a strong AI team that can drive new offerings and business models.
Let us understand the AI team in detail here for the survival of the business.
Building an AI team for your organization
The AI-fueled journey presents a straightforward proposition of keeping AI, ML, and other cognitive technologies at the center of business. AI helps to improve existing products, optimize internal and external operations, make better decisions, and give space for employees to become more creative.
To achieve this quantum leap, it is necessary to possess a strong AI team. It is critical to approach AI with a process-level view so that you can deploy them in a way that it significantly brings successful changes and improve customers’ experiences. Though you may start small, your team must have these AI professionals to be successful.
Here isa list of must-have professionals in your AI team.
The organizations that have successfully implemented AI have strong leadership support. A C-suite professional who can take an active role in aligning and ensuring AI projects with the company’s business strategy is of utmost importance. The C-suite professional is responsible for partnering with solutions providers, obtain funding, and taking the right initiative in the AI journey. This person acts as the real bridge between technology and business by driving AI pilot projects that deliver a measurable return on investment (ROI).
ArtificialIntelligence Researcher (AI Researcher)
30 percent of IT executives find AI researchers as their top priorities than any other role, Deloitte’s survey reports. The research and development (R&D) department in an enterprise is not a luxury, but a necessity.
For instance, AppTek had to invest in research to transform and keep up their specialization in human language technology.
Artificial Intelligence Engineer(AI Engineer)
The organizations need Artificial engineers (AI Engineer) to develop products and product applications.This includes making innovative designs, building software, deploying software, and coordinating AI capabilities with existing systems.AI engineers must possess programming knowledge, computing, and knowledge of the IT environment to create technology architectures at scale.
Further, they coordinate with data scientists, business analysts, automate infrastructure, convert ML models into APIs, test, and deploy models.
AI developers conduct fundamental research like new developments in deep learning and turn them into useful products. Though many companies rely on vendors for these assignments, they still need to build their platforms, and AI developers play the key role here. 28 percent of the respondents suggested that they need AI developers in their team, Deloitte’s survey reports.
The business leader
Unfortunately, the role of a business leader is less understood and realized. An organization needs a person who can intersect strategy, business models, algorithms, code development, and product development. The business leader need not be a programmer or understand the nuances of neural networks but must be able to comprehend the different types of AI work, the data sets, and work iteratively with the AI team. Further, they may create a product roadmap explaining the values for the employers, investors, partners, and employees.
The takeaway note
So, a successful business needs a combination of talents to make a successful venture with AI. Be it a core developer, engineer, analyst, marketer, leader, or a C-suite executive, everyone must know Artificial Intelligence.
An AI certification will be a great asset to professionals to progress in their career, improve the earning potential, increase chances of a discussion, taking technology initiatives in the organization, and so forth.
Does your organization have a mature AI team?
Let us know in the comments.