Blog — DATA FUTUROLOGY

Unveiling the journey to organisational AI maturity: Insights from Melbourne's data analytics community

As we seek to understand the state of AI adoption, we recently canvased 250 data analytics Melbourne-based professionals in for their assessments of their organisations' AI maturity levels. From the early days of exploration to the yet unknown future pinnacle of AI development, their responses and own appraisals provided valuable insights into the current landscape of AI. The findings were not altogether surprising but support a move towards progress, revealing a community heady with the pace of change tasked with demonstrating business value and tangible impact.

Kate Tappin13 July 2023data science, advancing ai, ai, dataComment

Perspectives on crafting an effective data strategy and promoting data literacy for business success

In the fast-paced realm of data analytics, crafting an effective data strategy and promoting data literacy are crucial for organisations aiming to leverage data to drive business success. Drawing upon recent Data Leaders Who’s Who articles, we delve into the insightful responses of three esteemed professionals in the field: Kathryn Gulifa, Pieter Vorster, and Elisa Koch who shed light on the key elements that set apart a good data strategy and discuss success in raising data literacy.

A quick guide to build an enterprise data strategy

What is a data strategy?

Data strategy is a series of steps, a long-term plan to enable business strategy by managing and utilising an enterprise’s information.

Like any other transformation program, it involves people, process and technology to carve a pragmatic, realistic roadmap and to realise outcomes /business benefits.

Enabling and accelerating your AI transformation journey: Governance, security, and privacy

Effective data management and data governance is critical to the success of any artificial intelligence (AI) journey. We know that poor data quality and insufficient data governance can lead to flawed or biased AI models, resulting in incorrect or unreliable results. On the other hand, well-managed data and strong data governance can enable the development of accurate and reliable AI models that can drive business value and improve decision-making. Fundamentally data management and data governance can make or break an AI journey.

Kate Tappin23 February 2023data leaders, Artificial Intelligence, data analyticsComment

On AI Governance: How to Get Started

Despite advancements in AI technologies, trust has not gotten any closer between business and data science teams. AI governance might be an answer. AI governance seems to be “born” out of data governance. Data governance aims at appropriate information consumption through various processes and frameworks. Arguably, AI governance shares similar overarching objectives — but given its technical complexities, it needs a dedicated focus. They are related but different.

Felipe Flores1 December 2022data leaders, Artificial Intelligence, strategy, culture, data science, machine learning, AI GovernanceComment

Means and Ends: When what matters most is hardest to measure

Against this backdrop, leaders who want to transform culture must introspect if they’re really willing to do what it takes. Sustaining behaviourally-designed operating rhythms is a tremendous commitment, often requiring structural change and management overhead to generate accountability through both ‘means’ and ‘ends’.

Felipe Flores16 November 2022data leaders, strategy, culture, data value chainComment

Identifying and Prioritising AI Projects

A crucial component to your data strategy is undoubtedly knowing when AI is suited to your project and which use cases to prioritise. With reports that so many data science projects are never making it into production (a whopping 87% according to a VentureBeat study), knowing when and where to apply AI in the first place is key to getting on the path to impact and business value from your AI.

Felipe Flores20 July 2022Comment

Five Tech Predictions for the Future of Data & AI

Data Futurology Founder, Felipe Flores shares on the biggest tech and innovations to watch for in the coming months that are really going to transform the way we work in the data analytics industry.

There are a few frustrations and areas where, despite the enormous leaps we have made in the tech space, some unsolved problems remain. Five key areas come to mind where there are likely to be innovations in the coming months.

Felipe Flores13 July 2022Comment

What it Really Takes to be Successful with ML at Scale

When it comes to leveraging technology to deliver outcomes at scale, Coles Group, is right at the forefront of it. With a network of over a thousand of stores and well over a hundred thousand employees, it became a hotbed of innovative thinking and technology driven solutions.

Felipe Flores15 February 2022Comment

Critical Factors in the Journey to Increasing AI at Scale

There are countless applications of AI, from smart farming to healthcare, cybersecurity, e-commerce, and space exploration. The simple fact is, AI is pervasive in our everyday lives. The demand for the insights, speed and benefits it brings have been felt by every industry globally.

Felipe Flores20 January 2022Comment

Top 5 Data Analytics & AI Trends To Watch For In 2022

As organisations expand their use of machine learning and AI, they will bring in a lot of new data, which needs to be processed and be ready for the ML algorithms to consume. There will need to be a renewed focus on how to manage this data, and that will lead to the emergency of MLOps.

Felipe Flores3 January 2022Comment

MLOps Acceleration with Cloud Adjacent Storage

Organizations around the world are looking at the best way to leverage the benefits of public cloud, but where should that valuable “irreplaceable” data be stored for the long-term, and subsequent reuse for the purposes of statistical analysis, machine learning and model training?

Felipe Flores8 December 2021unstructured data, cloud, public cloud, multi cloud, MLOpsComment

Getting ROI on Your AI

Data Futurology podcast host, Felipe Flores, shares on how AI can be used to deliver deep results for enterprises. Data Futurology itself started out as a project to interview the leading minds in AI and data applications, and become a library of wisdom by connecting the data community through thought leadership.

Felipe Flores2 November 2021MLOps, Artificial IntelligenceComment