Why Machine Learning And Big Data Will Produce The Earliest Wins

Machine learning and big data will produce the earliest wins for organisations utilising emerging digital technology, according to Sehida Frawley, SAP ANZ head of Digital Business Services. However, she cautions generating value and confidence in the technology will depend on an organisation’s resources, technology “ecosystems”, and trust.

Intelligent enterprises effectively use their data assets to achieve their desired outcomes faster – and with less risk.

For example, in order for organisations to trust the outcome of machine learning, they must also be able to trust the underlying data, Frawley said. The trust requirement extends to other technology, like blockchain, where there must be “trust in the relationship of that chain”.

Ultimately, generating value from emerging technology like machine learning, blockchain, and IoT, will also depend on resources – how much effort is required to have success – and the technology ecosystems to support new applications, Frawley said.

“It’s not just the software, it’s the whole technology ecosystem and the dependency on that, that will drive willingness to go down that path and success in that path,” Frawley said, giving the example of the IoT hardware required to support IoT applications.

The Public Sector Difference

Resources, ecosystems, and trust are common challenges of new digital technology, but the public sector can expect three more, according to Frawley.

The first two factors, risk and value, are directly related, Frawley said. Public sector organisations must weigh the consequences of data use against the value of services it can produce.

“If we go and change how we analyse and react to someone who is doing land tax, are we well informed and what are the consequences to that? So it’s that service provision value proposition that’s different.”

The final factor that is different for the public sector, or at least ratcheted up, is the use of data, Frawley said. In a climate of “heightened sensitivity within public services” regarding the use of data, Frawley says, use should not necessarily follow access.


This article was originally published on Which-50.com. Joseph Brookes is a writer for the Which-50 Digital Intelligence Unit.