as, say, building a self-driving car. Tat said, many cloud computing platforms offer cost effective AI and machine learning tools to people and organizations, as well as free or low-cost training to help them get started.
AI Requires Ongoing Investment
Te costs that come with AI and related solutions are not a “one and done” affair. Although AI solutions can minimize the time and effort needed for monotonous, low-value tasks, they require monitoring to ensure that they are operating properly, biases are minimized, and that they comply with any industry regulations, as well as local, state, and federal laws. AI solutions, much like cloud computing-based solutions, should be considered an operating expense versus a capital expense. In addition, as AI solutions change and mature, ensuring that staff is properly skilled is crucial.
As leaders look to bring AI into their organizations, it is important that they have strong computing infrastructure in place to support its use. AI tools require a significant amount of computing resources— specifically, central processing units (CPUs), graphics processing units (GPUs), storage, and networking—to perform optimally.
Organizations also will need to have a clear understanding of what AI adoption will look like in their organizations and a solid strategy on how to make that adoption a reality.
Lastly, it is important that leaders have realistic expectations of the problems that AI can, and cannot, solve. AI solutions cannot fix antiquated or poor internal processes and systems. Trowing AI solutions on top of flawed systems will not only lead to failure but lead to failure more quickly—and with huge tangible and intangible costs. It is important that an organization reflect on their existing systems and culture before embarking on AI solution adoption.
Susanne Tedrick is an infrastructure specialist for Azure, Microsoft’s cloud computing platform. In her work, Susanne helps her clients address needs and challenges surrounding cloud adoption, migrating on premises workloads to the cloud, and cost optimization. Susanne previously worked as a technical specialist for IBM Cloud. For more information, please visit:
www.SusanneTedrick.com.
TPI Turf News September/October 2022
53
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84
