Our first step to create an Ai Governance is data provenance. It is the data used to train the model and it depends on the awareness level of Data Scientists. Ignorance to validate the datasets on biasedness needs enterprise level monitoring of data framework.
Responsible Ai is not just about Values. But about frameworkWe help in creating a cross-functional Ai ethics team or board to supervise the creation and use of Ai. Our SMEs work with your Ai Team to establish roles and duties for AI governance.As part of data provenance, we focus on data being used to train Ai models. We ensure accountability and auditability of the data by looking its reliability and how impartial it is and its correctness. The cross-functional team also look into protecting the sensitive data by ensuring data privacy and security safeguards.
The evaluation of an organization's current Ai capabilities, procedures, and practises is key to determine its deployment maturity. Our Ai ethics team helps to identify the strengths and shortcomings as part of the assessment to support the organisation on its AI journey.
Advancing Through the Ai EvolutionOur key intervention to organisations is in assessing where they stand and set attainable targets for improvement by assessing the maturity of Ai. We keep revisiting the assessment frequently to update the judgement as organisational capabilities and Ai technologies advance. Our proprietary maturity model framework is tuned to match the business goals for an accurate assessment. Our Maturity Assessment answers follwoing indicators:What is the Ai strategy at the leadership level?How robust is your data infrastructure?What is the level of Ai expertise available inhouse?How much of Ai R&D is explored and experimented?Are there any Non-Ai Model Developed and Deployed?We help organisations to evaluate the Ai maturity and enable them to fully realise its Ai potential. Our maturity assessment helps in guaranteeing ethical and responsible AI practises. In an increasingly AI-driven environment, our assessment offers a path for Ai adoption, optimise its RoI, and ensure continuous improvement. Start your journey and ensure our organization's long-term success - the Ai way.
Our Roadmap is a phase-wise strategic plan outlining the adoption and integration of Ai into its operations and processes. But top three issues we noticed in Walking the Talk of Ai is to Set Priorities, Identifying Use Cases and making the voice heard by Communication and Change Management.
Our support in executing an Ai roadmap entails translating the roadmap's strategic plan into concrete steps. This is followed by and measuring that result in each milestone as part of the effective deployment of Ai efforts. Our SMART process act as checkpoints on the roadmap for Ai, assisting the organisation in staying on track and assisting decision-making as it advances its Ai efforts.Among our 15 steps Roadmap components, The following top 5 are critical phases:Talent Acquisition and TrainingAI Infrastructure DeploymentEnsuring the availability of technology stack and its alignmentIntegrating the Ai solutions with existing business processes.Review and update the AI roadmap frequently to reflect shifting company priorities, new technologies, and market factors.We approach the Ai roadmap as an ongoing process and guarantee our commitment, agility, and use of Ai to generate quantifiable business returns. We stay in line with the organization's overarching strategic goals during our involvement and adjust the roadmap as appropriate.
