Many organisations are navigating the complex maze of data topics, from traditional analytics to data science and machine learning, through to the buzzworthy Generative AI. Common questions span from 'How can we leverage big data insights effectively?' to 'How does Generative AI like ChatGPT fit into our data strategy?' and 'How will these technologies reshape our business landscape?' Organisations grapple with a wide array of concerns, from understanding diverse data concepts, staying updated in an ever-evolving tech environment, and evaluating cost implications, to gauging the impact of such concepts on technology, workforce capabilities and efficiency.

Exposé, as a top-tier data and AI consultancy in Australia, is at the forefront of these transformative regimes and technologies. We maintain close collaborations with industry leaders to assess the potential and practicalities, including the nuances of Generative AI, ensuring they seamlessly integrate into an organisation's framework. Critical areas like security, ethics, processes, and operational methodologies are central to our consultations.

Our AI Briefing is crafted to offer a clear perspective on how these AI focussed techniques, technologies and practices can revolutionise an organisation’s data ecosystem and ways of working. We delve into appropriate levels of detail across technology, people, workflow, ethics, and security.

We'll guide your organisation through a set of questions, the answers to which will be used to create an executive-level briefing. This briefing will be informative and interactive, featuring a dedicated Q&A session.

Join us as we journey through the exciting terrain of Generative AI and uncover what it truly means for your organisation.

With the exponential growth of data and increased demands for data products from increasingly sophisticated users, organisations are driven to achieve more in less time, with less cost and complexity, reducing the decision cycle from the raw data to final insights. To harness the promising opportunities AI offers requires innovation, agility, resilience, and vigilant security. As Generative AI capabilities are now being integrated into the data technologies you currently use (for example, Azure Data Lake, Azure Data Factory, Synapse Analytics, Databricks, and Power BI)* or plan to adopt, including through emerging platforms such as Fabric, it's essential to understand your readiness to harness the power of AI in your existing data operations, especially given current changes to this technology landscape.

exposéAI Maturity assessment covers not only your technology landscape but also your data (do you have the right type and structure?) and the readiness of your people to adopt AI-enabled processes. We identify gaps and provide practical solutions to fill them. Our findings across technology, data, people, and processes will help us build a roadmap and a blueprint allowing you to start utilising AI securely and sensibly.

* This applies to other vendor technologies too (e.g., AWS, GCP, Denodo, etc.) as and when those vendors enable their equivalent versions of Generative AI in their data analytic technologies, or even bespoke Generative AI components developed by exposé.

Our innovative exposéAI Masterclasses are designed to empower data engineers, business modellers, visualisation experts, and data scientists to leverage the transformative power of Generative AI. This will accelerate your data transformation journey, enhance predictive and prescriptive modelling, streamline business-focused data modelling, and generate dynamic visual insights.

With our exposéAI Masterclasses, we establish a relatable backstory, analyse your current technology landscape, provision a controlled sandbox for exploration and learning, develop a dummy data and information set, craft tailored training material, and guide each data role through leveraging Generative AI's capabilities within their workloads. Our initial offering focuses on the various data experiences (Azure Data Lake, Azure Data Factory, Synapse Analytics, and Power BI) rolled into Microsoft Fabric*. Our exposéAI Masterclasses offer an engaging and future-forward learning experience, honing your team's skills and preparing them for modern data analytics.

* This applies to other vendor technologies too (e.g., AWS, GCP, Denodo, etc.) as and when those vendors enable their equivalent versions of Generative AI in their data analytic technologies, or even bespoke Generative AI components developed by exposé.

Responsible AI, often called ethical AI or trustworthy AI, is a multidisciplinary endeavour to design and construct AI systems to enhance our lives. These systems are meticulously crafted with a focus on fairness, accountability, transparency, and their impact on individuals and the global landscape. The realm of Responsible AI draws upon diverse fields such as computer science, social science, economics, law, policy, and ethics. Constructing Responsible AI entails engaging all segments of an organisation, particularly those directly impacted by the technology, as businesses collectively shape the role of AI in our future.

Responsible AI Briefings (this could form part of the overarching AI Briefing package)

Designed for business leaders seeking a foundational understanding of AI applications, these briefings delve into key concepts and challenges in creating, managing, and overseeing AI systems. Topics covered could include the current state of AI Systems, AI Concepts, the Australian Government's AI Ethics Framework, Governance of AI Systems, Risk Management and Building Responsible AI Systems.

Responsible AI Training

Our comprehensive training sessions cater to business leaders, data scientists, and data custodians wishing to understand what ethics in AI means for them. It delves deep into understanding ethical trade-offs within organisational objectives, fostering a culture of accountability around AI decision-making, and covers three distinct tracks: Leadership Training, Data Scientist Training, and Technical Training.

Responsible AI Enhancements

At exposé, we are dedicated to promoting responsible AI solutions that pave the way for a more ethical and inclusive technological landscape. Our comprehensive range of solutions is carefully designed to seamlessly integrate ethical considerations into automated decision systems, ensuring that technology aligns with business values and societal well-being. Our offerings include:

• Assessing and enhancing existing automated decision systems to align with ethical considerations.

• Collaborating to develop new ethical decision-making systems.

• Constructing machine learning systems rooted in ethical decision-making.

• Exploring the feasibility of applying automated decision-making to address specific challenges while adhering to ethical principles.

• Evaluating AI systems and algorithms and providing recommendations to align systems with ethical objectives.

Recognising the significance of equipping your data experts with the expansive capabilities of AI is just the starting point. Factoring in your technological landscape, workforce aptitude, and procedural norms (encompassing Security and Ethics), it becomes essential to initiate a controlled proof of value (PoV). While our exposéAI Masterclasses aims to enable crucial data roles to adopt new, more productive ways of working by leveraging Generative AI within your technology reality (for example, Microsoft Fabric*), our AI PoV’s offer practical solutions based on your actual data and within your technology reality by providing a thin slice of an agreed AI topic and use case, delivering enough for you to understand the nuances of the topic and in an operational ready solution, whilst also establishing the foundations for expanding AI within your ecosystem.

We co-create a sensible scope for the PoV and then demonstrate the value of the particular AI topic(s). This experience paves the way for informed decisions regarding AI (business, process, technology, people, security, ethics and so on).

Topics covered in a POV could include:

• Methods of AI:
- The impact of Generative AI being unfolded into pervasive data technologies included within Microsoft, AWS, GCP, Denodo, etc.).
- Data Science and Machine Learning.
- Cognitive Services or other automated AI capabilities.

• Security, ethics, etc.

• Many others