Harnessing News for GenAI

By June Ramli

The AI platforms market in Australia and New Zealand is projected to surpass US$3.5 billion by 2028, according to IDC, driven by the surging adoption of generative AI (GenAI). While GenAI continues to dominate conversations, a critical reality often overlooked is that its effectiveness hinges on the quality and reliability of the data it processes. In an era characterized by unstructured data and the proliferation of misinformation, the question arises: how can we leverage GenAI responsibly to drive sustainable value?
In an exclusive interview with DailyStraits.com, Traci Mabrey, General Manager of Factiva, delves into this pressing issue. Mabrey explores how businesses can harness curated news datasets as a strategic asset to support predictive analytics, manage risks, and identify opportunities. By addressing the challenges of data reliability and ethical sourcing, she highlights actionable strategies for bridging the gap between AI’s potential and real-world outcomes.

How can businesses best harness news as a strategic asset to make data-driven decisions in an era of information overload?

In today’s hyper-connected world, businesses grapple with an overwhelming flood of information. While leaders increasingly rely on data analytics to guide decisions, reduce risks, and drive revenue, the sheer volume of data often erodes confidence and hinders action. This paradox—where information abundance becomes a barrier to decision-making—highlights the critical need to transform news into a strategic asset.
At Dow Jones, we are more than a global leader in journalism—we are a publisher, arbiter, and innovator in the information economy. With a legacy of delivering accurate, high-quality content, we empower businesses to navigate complexity with confidence. Factiva, our flagship business intelligence platform, embodies this commitment by providing validated, fully licensed content from a diverse array of trusted sources. It enables businesses to research critical market trends, customer behaviour, regulatory developments, and competitive landscapes.
In addition to an unparalleled content offering, Factiva has infused AI capabilities throughout its 25-year history. Within the new GenAI paradigm, Factiva is continuing this journey, including the recently announced GenAI-powered summarisation through Factiva Smart Summary, which distils vast amounts of information into precise, actionable intelligence. This ensures that leaders can quickly identify meaningful signals and make informed decisions without being overwhelmed by noise.
The key lies in transforming raw information into decision-ready intelligence. Businesses can achieve this by adopting platforms and processes that consolidate, filter, and contextualise news—enabling leaders to stay informed without being overwhelmed. By integrating curated insights into their strategic workflows, companies can make confident, data-driven decisions that respond dynamically to the world around them.

What measures should companies take to ensure the reliability of data used in Generative AI, particularly in mitigating risks from unstructured and potentially misleading information?

As GenAI adoption accelerates, companies are increasingly aware of the risks posed by unreliable or unstructured data. The reliance on poor-quality or misleading data not only jeopardises the integrity of AI outputs but also increases regulatory and reputational risks.
Ensuring data reliability begins with robust sourcing practices. Companies should prioritise validated and licensed data sources that meet stringent quality and ethical standards. This requires building partnerships with trusted content providers and leveraging technology to filter and verify information. Traceability is also critical—every output generated by AI models should be auditable, linking back to its original source to maintain transparency and accountability.
Another essential measure is incorporating advanced data management systems that can distinguish relevant and credible information from the noise. AI tools trained on vetted datasets with clearly defined parameters are less likely to produce biased or misleading outputs. Companies should also implement periodic reviews of their AI models to mitigate risks and adapt to evolving regulations.

Can you share examples of how curated news datasets have been used to bridge gaps in emerging markets and empower real-time decision-making?

Curated and validated news datasets, such as those provided by Factiva, are invaluable for businesses navigating emerging markets. Factiva enables companies to conduct thorough research and due diligence by delivering timely, accurate, and fully licensed information. This supports informed decision-making, whether assessing risks, understanding regional trends, or identifying opportunities.
For example, a company entering a new market can use Factiva to analyse local news, monitor regulatory developments, and even, assess macro and micro dynamics in real-time. By providing curated insights, Factiva helps bridge information gaps, empowering leaders to make confident, trusted data-driven decisions in rapidly evolving environments and economies.

What role does Factiva play in ensuring organisations have access to structured, actionable data for their AI-driven strategies?

Factiva plays a crucial role in equipping organisations with structured, actionable data that supports their AI-driven strategies. By providing access to over 33,000 news and media sources across 33 languages and 200 countries, Factiva helps businesses integrate valuable insights into their decision-making processes, enhancing both speed and accuracy.
The recent introduction of AI-powered tools like Factiva Smart Summary marks a major advancement for Factiva. These GenAI summaries, distil complex information from trusted sources into clear, concise insights, enabling businesses to make informed decisions quickly. Since the Beta rollout earlier this year, feedback has been overwhelmingly positive, with 79% of users rating the feature highly.
Alongside Factiva Smart Summary, Factiva Feed for GenAI allows businesses to seamlessly incorporate Factiva’s GenAI licensed content into their AI applications, supporting activities such as research, anomaly detection, adverse media analysis, and content creation. This integration of advanced AI technology not only streamlines processes but also ensures that all content leveraged via Factiva GenAI is validated, appropriately licensed, and free from misinformation.
Through these innovations, Factiva continues to evolve, leveraging GenAI not only for automation but to enhance the accuracy, efficiency, and reliability of data-driven strategies.

As Generative AI continues to grow, what are the top challenges you foresee in leveraging it responsibly, and how can businesses overcome them?

As GenAI continues to grow, businesses face several key challenges in leveraging it responsibly, including ensuring data integrity, maintaining transparency, and mitigating hallucinations. One of the main concerns is ensuring that AI systems produce accurate and reliable outputs by relying on credible data sources. This challenge can be addressed by establishing robust content validation processes and integrating clear frameworks that prioritise ethical principles and human oversight in AI applications.
Another challenge is the potential for AI-generated content to be biased or misleading. To combat this, businesses must implement effective measures to detect and correct inaccuracies, ensuring that AI systems remain reliable and trustworthy. This includes ensuring that AI tools are transparent and auditable, so that businesses can trace the origins of their data and insights.
Collaboration is also essential in overcoming these challenges. Collaborating with trusted platforms and industry experts can help businesses integrate advanced AI tools that are designed to minimise risks such as data manipulation and privacy breaches. By fostering innovation within a framework of responsibility, businesses can harness the transformative power of GenAI while safeguarding trust, compliance, and ethical standards.