AI projects are experimental in nature and do not follow the standard software development lifecycle. In building AI-based systems, we have learnt about the role of human-computer interactions that build iterative cycles that improve AI/ML predicted outcomes.

Part 1 of our data platform architecture series.
How do organizations make sense of the explosion of internally and externally generated data? Over the past 20+ years, data warehouses have been the mainstay, however, given the evolution of cloud and integration architectures (e.g. microservices) as well as the proliferation of streaming data sources and devices, a traditional modeled data warehouse is no longer sufficient.

The coronavirus has essentially forced everyone, almost globally to work from home. Project-focused workforces are well versed in remote and digital collaboration but those in BAU roles are less adept in this area. With a multitude of tools and software companies will need help transitioning work practices, building online ways of working, strengthening networks and cloud applications and optimising software license spend.

Severe bushfires and the global impacts of the corona virus have derailed what was hoped to be a year of recovery. This has given us cause to reflect on what the biggest issues facing our generation are and roles local governments need to play in order for us to survive the major disruptive trends and environmental challenges of the next few decades.

With banks realing from a raft of post-royal comission compliance and remendation issues, non-bank lending has been booming, growing roughly 15% p.a. for the past 3 years. Non-bank issued RMBS’ has double as compared to the prior 2 year period. But what are the biggest challenges non-bank lendors face and how will they consolidate the small beach-head they have grabbed from the big banks in the residential mortgage market.

Walking into any organisation, the one thing we’ve found that all companies have in common is that, various aspects of the data management competency are claimed by different people with very little connectivity between them. In other words, fragmented ownership of a poorly defined area of responsibility.

Cognitivo has developed a unified approach to data management that incorporates privacy, information security, records management and data quality into a single Risk Management Framework aligned to ISO 31000 the Risk Management standard.

The digital economy is characterised by data-driven ecosystems. Organisations have recently started to experiment and engage in data commercialisation and data sharing initiatives in order innovate with data. However, few have been able to assess the the risk of re-identification and some organisations have been caught out. Do not sleep well at night, Your current PIA’s will not save you!