Page 36 - SAMENA Trends - July-September 2024

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Cisco Highlights Insights on AI Adoption for Businesses: From Strategy to
Implementation

Artificial Intelligence (AI) is undoubtably a Phase 1. Planning: Start small, similar to stakeholders to maintain transparency.
dominating topic of discussion, influencing building running endurance with short runs. Phase 5. Leadership: AI success depends
both our daily lives and transforming the Identify and recruit an internal champion on fostering transparency, training, and
business landscape. As enterprises engage to socialize efforts and gain support from shared usage across business units. Es-
in a competitive digital arms race focused key stakeholders. Establish three to six use tablish an “AI first” culture from the top
on AI, Cisco is committed to being a leader cases with measurable outcomes that ben- down, where all workers understand AI’s
and partner in this field. We are at the fore- efit the line of business. strengths and weaknesses to be productive
front of the AI revolution utilizing our ex- Phase 2. Experimentation: Invest in the and innovate securely.
pertise in networking and cybersecurity to people, processes, and technology to ease AI adoption varies across organizations
develop cutting-edge innovative solutions. transitions between phases, such as fund- To avoid common mistakes, focus on cre-
Building an AI-mature organization requires ing a Center of Excellence (COE) and teach- ating a responsible use of AI that reduces
defining a clear strategy, frequent commu- ing cloud AI APIs. Build executive aware- technology risks and aligns with the re-
nication, and setting measurable outcomes ness with realistic goals and be flexible to sources currently available. Cisco’s key rec-
to optimize results and avoid common er- pivot as necessary. ommendations include:
rors. A recent Gartner® report emphasizes Phase 3. Stabilization: At this stage, a 1. Choose the first project carefully, as most
the importance of a measured approach to basic AI governance model should be es- AI projects fail to deploy as projected.
AI adoption. Their AI adoption framework tablished, with initial AI use cases in pro- 2. Do not underestimate the time required
helps organizations avoid major pitfalls duction. The implementation team should for deployment.
and maximize the chances of successful AI have working policies to mitigate risks and 3. Ensure your team has the necessary
implementation. The framework encourag- ensure compliance. This st “pivotal point” skills, capacity, and experience to take
es the use of the AI adoption curve to iden- is essential for expanding to more complex advantage of AI trends.
tify and achieve goals that increase AI val- use cases. With strategic objectives de- According to Cisco’s AI Readiness Index in
ue creation by solving business problems fined, budgets in place, AI experts on hand, the UAE, half (50%) of respondents ranked
more effectively, faster, at a lower cost and and technology at the ready, organizations improving the efficiency of systems, pro-
with greater convenience. can finalize the organizational structure cesses and operations among the top out-
The Gartner phased approach to AI adop- and complete processes for the develop- comes that companies are looking to drive
tion ment and deployment of AI. through adoption of AI. This was followed
AI can help classify and understand com- Phase 4. Expansion High costs are com- by growing revenue and market share
plex sets of data, automate decisions mon at this stage of AI adoption as initial (48%) and improving ability to innovate at
without human intervention, and generate use cases demonstrate value and build (47%). However, with only 25% of respon-
anything from content to code by utilizing momentum, leading to hiring more staff, dents in the UAE saying AI deployment has
large repositories of data. However, under- upskilling employees, and incurring in- been given the highest priority for budget
estimating the importance of prioritization frastructure costs. As the organization allocation and incremental budget funding,
can lead to delays and frustration. integrates AI in daily operations, it is vital organizations need to think about how they
Cisco’s key takeaways from Gartner’s AI to track spending, demonstrate progress plan to fund AI deployments over the long
phased approach include: against goals, and share outcomes with run.

Inmarsat Maritime Selects Eutelsat’s OneWeb
LEO Network to Support Maritime Connectivity

Service

Eutelsat Group announces that Inmarsat
Maritime, a Viasat company, has selected
Eutelsat’s OneWeb low Earth orbit (LEO)
network for integration into its NexusWave
fully managed bonded connectivity solu-
tion. The addition of Eutelsat’s OneWeb
LEO connectivity to Inmarsat’s extensive
maritime network and expertise under-
scores a shared commitment to delivering
cutting-edge connectivity solutions that ad-
36 JULY-SEPTEMBER 2024