In our rapidly evolving digital landscape, we are in the era of artificial intelligence (AI). This is not just a technological trend; it signifies a fundamental shift in how businesses operate, compete and create value.
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In our rapidly evolving digital landscape, we are in the era of
artificial intelligence (AI). This is not just a technological
trend; it signifies a fundamental shift in how businesses operate,
compete and create value.
Business leaders consistently ask: “What can AI do for
my organization, and what can I do today to get started?“
In our latest video series, Bob Ghafouri aims to demystify this
fast-moving technology and challenge businesses to think about
their AI adoption strategy.
The Three Chapters of Digital Transformation
self
The term “digital transformation” can trace its roots back to the late 20th century.
More recently, I look at it in three phases, with generative AI
leading a major transformation in business today unlike any we have
seen before:
- Digitization of the customer experience: The
evolution of digital marketing, search, social media and
e-commerce. This chapter focuses on digitizing existing processes
to enhance efficiency and productivity. - Cloud and operational efficiency: The
development of digital services for experience optimization and
operational automation. During this time, businesses emphasized
data and analytics, and how to leverage it to make informed
decisions. - Artificial Intelligence: Empowering the
workforce with tools like ChatGPT and Microsoft Co-Pilot to enhance
day-to-day efficiency. In today’s chapter, AI enables
organizations to predict trends, automate complex tasks and create
personalized customer experiences at an unprecedented scale.
The Three Types of AI Adoption
self
While AI may be the hype in the news and at bigger
organizations, the technology is still very new and daunting for
many. I break down the current landscape of AI adoption and share
opportunities and challenges businesses face today.
- Leaders in AI adoption: These companies are
ahead of the curve, learning the most from early AI implementation.
Being an early adopter comes with rewards, but it also entails
facing challenges like hallucinations in large language models and
security risks from integrating AI with internal data. - Fast followers: These organizations carefully
observe and learn from their leaders. They take a methodical
approach to quantifying the value of AI use cases and strategically
plan implementation for maximum impact. - Highly regulated industries: In sectors like
healthcare, companies are more cautious and focused on basic AI
applications. Industries like these are beginning their AI journey
while dealing with strict regulations and existing technical
debt.
The Do’s and Don’ts of AI Implementation
self
Whether your organization is a leader or is still exploring AI
in its operations, A&MPLIFY offers practical advice on how
businesses should implement AI effectively.
- Catalog use cases and quantify value: Before
diving into AI, create a comprehensive list of potential use cases
and assess their value and feasibility. - Educate your team: Provide basic AI education
for your entire team to avoid confusion and misuse of AI
terminology. Understanding predictive AI, generative AI and their
convergence is essential. - Be strategic and start small: Instead of
committing to a massive, long-term AI project, start small with a
high-value, high-likelihood pilot use case. This approach allows
for learning and quick wins. - Leverage internal data: Your
organization’s internal data is more valuable than external
data sources. Catalog and assess the value of your internal data to
maximize AI’s benefits. Start to develop an infrastructure to
manage and aggregate your data for better data quality. - Select partners after planning: Don’t
choose your AI partners before you have a clear game plan. With
over 50,000
AI companies globally, first identify your needs, and then
select the appropriate software platforms and experts.
Conclusion
The AI chapter in digital transformation offers unparalleled
opportunities for innovation and efficiency. By adopting the right
AI strategies and following implementation best practices,
businesses can harness the power of AI to drive exponential growth
and stay competitive.
Originally published 15 July 2024
The content of this article is intended to provide a general
guide to the subject matter. Specialist advice should be sought
about your specific circumstances.
