The transformative effect of AI and ML
The use of artificial intelligence (AI) and machine learning (ML) is revolutionising the world of advanced analytics for financial services and telecoms providers. These sophisticated technologies can be used for multiple purposes, benefiting both companies and...
Ensure data management architecture drives business value
Historically, smaller African banks have been less impacted by global regulations for anti-money laundering and managing systemic risk. However, the last few years have seen both consolidation in the market, with larger more globally focussed financial services...
Double down on data in times of crisis
The last few years have seen a seismic shift in the way organisations do business. The pandemic triggered massive digital transformation and modernisation with a rapid move to the cloud. Very little thought was given to things like governance, responsiveness or cost,...
Build a business case for data governance
There’s no denying that data is a valuable organisational asset. It represents the key to business development and organisational success. If an organisation isn’t analysing data to enhance business processes, uncover customer insights, and identify competitive...
Put your data first to build business resilience
Big businesses everywhere are pegging their future on a cloud-first strategy, with the sudden and intense requirement for remote working and virtual platforms having played a significant role in the urgent digital transformation journey. However, reconsidering the...
Move beyond generative AI hype to gain competitive advantage
Generative AI tools, like ChatGPT, can massively improve an enterprises' productivity and competitiveness but only if we have a realistic view of the technology's risks and limitations. By Michael Langeveld, chief technology officer at Hewlett Packard Enterprise (HPE)...
How to adopt a data-centric approach to data security
There is no doubt that data protection regulations, like the Protection of Personal Information Act (PoPIA), are driving investment in data security. By Gary Allemann, MD of Master Data Management Typically, investments have included beefing up firewalls and other...
Danger: data ahead
Data security, artificial intelligence (AI), and data management remain key optimisation concerns for companies looking to retain the value of their data while mitigating the risks, writes Shenita Nathoo, senior solutions specialist: data and analytics at Altron...
Strike a balance between hyper-personalisation and data privacy
In the current era of hyper-personalisation, a blanket approach to marketing is simply not effective. Customers want tailored offerings and experiences based on their own personal desires and needs, and businesses must be able to deliver this to remain competitive. By...
Data democratisation needs data governance
Sometimes it takes just one individual to come up with an innovative new approach that gives your organisation the competitive edge, but more often than not, it requires the collaboration of various different teams and the combination of lots of different data...
AI must deal with gender bias to reach its potential
The past year has seen artificial intelligence (AI) become a dinner-table topic of conversation around the world, thanks to bots such as ChatGPT, which dazzles users with its ability to compose lifelike text and even computer code. But what happens when AI makes wrong...
Blurring the lines between data management and cybersecurity
In the past, data management and cybersecurity would fall under separate domains, but with more organisations making the shift to the cloud, data management and data protection have merged, essentially blurring the lines between the two. By Hemant Harie, MD of Gabsten...