Building the Foundation for AI<\/strong>, featured InfoVerge CTO, Skhumbuzo Mjoji.<\/p>\n\n\n\nThis webinar is targeted at organisations at the start or midpoint of their AI journeys.<\/p>\n\n\n\n
Mjoji provided insight into the major challenges facing organisations, including inaccurate, inconsistent, and low-quality data, as well as insufficient data and processing infrastructure.<\/p>\n\n\n\n
\u201cAI is having a huge impact on society and business,\u201d explained Mjoji.<\/p>\n\n\n\n
\u201cBut for our AI initiative\u2019s success depends on a robust data foundation.\u201d<\/p>\n\n\n\n
Mjoji outlined the key steps for building a strong foundation, noting factors such as creating an AI-first data strategy, establishing a single source of truth, and continuously managing, governing, and securing data.<\/p>\n\n\n\n
Webinar two<\/h2>\n\n\n\n
The second webinar was titled From Data to Intelligence: Activating Smarter Operations<\/strong> and unpacked the importance of operational maturity.<\/p>\n\n\n\nIt is targeted at organisations that have laid the groundwork, and are now looking to realise measurable business value.<\/p>\n\n\n\n
The discussion featured Chief Data Officer at InfoVerge Solutions, Ntiyiso Mayile, who noted that AI success depends on operational maturity.<\/p>\n\n\n\n
According to Mayile, a lean and structured MLOps approach helps reduce project failure, and allows organisations to turn insights into tangible impact.<\/p>\n\n\n\n
\u201cIt all goes back to governance and having the fundamental data foundations in place,\u201d said Mayile.<\/p>\n\n\n\n
Organisations that view this webinar can use its insights to speed up decision-making and enhance their competitive edge.<\/p>\n\n\n\n
Webinar three<\/h2>\n\n\n\n
The final of the three webinars – Scaling AI Success: Governance, Ethics and Future-Proofing<\/strong> – featured both previous speakers, who focused on the scale and speed of AI adoption in the modern marketplace.<\/p>\n\n\n\nHey highlighted that adopting AI is only the beginning of your organisation\u2019s journey, and it is scaling it responsibly where lasting value is created.<\/p>\n\n\n\n
This process must take into account an evolving AI regulatory landscape.<\/p>\n\n\n\n
\u201cAs fast as the technology grows, you have regulatory bodies trying to catch up with governance policies,\u201d said Mjoji.<\/p>\n\n\n\n
\u201cSouth Africa does, in fact, have a national AI policy, and we will see more regulations drafted as AI is more widely adopted.\u201d<\/p>\n\n\n\n
Mayile highlighted that data shows users are still unconfident when it comes to navigating AI usage in South Africa.<\/p>\n\n\n\n
\u201cFor example, many organisations are using a Copilot, and in doing so, they accept all the terms and conditions and opt in to allow it to access all your data,\u201d said Mayile.<\/p>\n\n\n\n
\u201cSome of it could be sensitive, such as contracts and personal information. If you simply accept the terms and conditions, you are at risk.\u201d<\/p>\n\n\n\n
Choose InfoVerge Solutions<\/h2>\n\n\n\n
InfoVerge Solutions can help organisations implement and tailor their AI frameworks to be ethical, responsible, and secure.<\/p>\n\n\n\n
\u201cWe offer all the tools, processes, and expertise to scale AI within your organisation,\u201d said Mjoji.<\/p>\n\n\n\n
Watch InfoVerge Solutions\u2019 AI webinars and see how data is fuelling AI-driven smart business here.<\/a><\/strong><\/p>\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
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