Stories & Use cases

Question 1

What are the Preparation Pillars

Answer 1

Data -

We’re clear about most data sources we have available, logs, We’re able to centrally acesss most of our data

Cultural / Mindset
* We’re comfortable with initiatives with uncertain outcomes
* Most of our executives undertstand what AI is and how it can benefit the company
* We know how/have a plan to work as a cross-functional team (business leaders, technical experts, and etc.)
* We have a company wide understanding of AI and how we plan to use AI
* We’re mostly data-driven or data-informed. Most of our decisions are guided by data
* Leaders in our company are comfortable using and making decisions based on data
* We have a team to counsel us on ethics and accountability around Data and AI

AI Infrastructure
* We have successfully deployed several AI solutions at the company
* We have the infrastructure to deploy AI models or are currently exploring one

Skills
* Our executives understand AI and have undergone AI training and education
* Our key innovators understand AI at a deeper level and have undergone AI training and education
* We have hired / retrained personnel for the implementation of AI and data strategy.

Budget
* We have the budget for executive and innovator training and education for AI
* We have allocated budget for technical employee reskilling or hiring data scientists, engineers or consultants
* We have allocated budget for setting up our AI infrastructure / data infrastructure
* We have allocated budget for shaping up our data infrastructure

Answer 2

c

Question 3

ספר לי על סיפור הצלחה שלך

Answer 3

Situation:
Upon joining Systematics in 2015 as an Enterprise Sales Specialist, the company was experiencing stagnant sales revenues from local government contracts at $450K annually. The challenge was to unlock the potential of GIS technology for broader applications within the municipal sector.

Question 4

Tell me about a challnge sale you had

Answer 4

רציתי לוודא שהבעיה גדולה, משמעותית ושקיימת בצורה