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Getvisibility Earns IMDA Accreditation

Getvisibility’s dedication to data protection and compliance has been officially recognized by the Infocomm Media Development Authority of Singapore (IMDA). This accreditation distinguishes Getvisibility as a trustworthy provider of data security solutions, joining the ranks of elite companies that have met the stringent criteria set by the IMDA.

“We are immensely thrilled about the opportunity to expand our footprint in Singapore and to receive IMDA’s accreditation,” – Mark Brosnan, CEO of Getvisibility.

This acknowledgment underscores their unwavering commitment to empowering organisations in Singapore to protect their data, meeting and exceeding regulatory requirements.

New Regional Headquarters in Singapore

Concurrent with the accreditation, Getvisibility inaugurated its Singapore office, a strategic outpost located in the heart of the city-state’s thriving tech hub. This office is not just a physical space but a symbol of Getvisibility’s determination to support its growing customer base and foster collaborations with local partners.

AI-Powered Data Security Solutions

One of the pinnacle achievements accompanying Getvisibility’s Singapore expansion is the development of a product tailor-made to meet the locality’s privacy and security regulations. Edwin Low, Director of Enterprise and Ecosystem Development at IMDA, expressed his enthusiasm:

“With their leading AI and machine learning solution, Government agencies and enterprises can work seamlessly for real-time, accurate data discovery and classification of documents.”

This IMDA-accredited data security solution, underpinned by AI technology, equips organizations to manage and secure sensitive data proactively, a crucial step in ensuring compliance with robust data protection and governance frameworks.

A Trusted Partner for Global Data Protection

Getvisibility’s entry into the Singaporean landscape aligns seamlessly with its global mission – revolutionizing data security and compliance with avant-garde technology. The company is poised to make a substantial impact in Southeast Asia, offering best-in-class solutions for data protection and regulatory compliance, enhancing cybersecurity posture globally.

Concluding Thoughts

Getvisibility’s journey of earning the IMDA accreditation in data security and establishing its stronghold in Singapore is a vivid testament to the company’s prowess and commitment in the realm of data security. As we step into an era where data is as precious as it is vulnerable, such advancements promise a future where security and innovation go hand in hand.

We invite our readers to delve into this discussion – how do you perceive the future of data security with the advent of AI-powered, IMDA-accredited solutions like those of Getvisibility? Share your insights and perspectives in the comments below. Your voice adds invaluable depth and dimension to the unfolding narrative of data security in the digital age.

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AI’s influence extends beyond industry and consumer products; it holds the promise of ushering in a new era of government services. When implemented responsibly, with governance, privacy protection, and transparency at its core, AI has the power to revolutionize public sector operations. This transformation can empower citizens, restore trust in government entities, improve workforce efficiency, and reduce operational costs.

Yet, despite the myriad advantages, many government agencies worldwide grapple with the implementation of AI, particularly generative AI. They stand at a crossroads, faced with a choice: embrace AI’s potential to enhance the lives of the citizens they serve or remain on the sidelines, missing out on AI’s ability to achieve their objectives more effectively.

Early Success Stories

Government agencies that have embraced AI and automation provide valuable insights into the technology’s benefits. Examples abound, from modernizing the U.S. Internal Revenue Service’s tax return processing to enhancing the efficiency of the U.S. Agency for International Development’s Global Health Supply Chain Program through automation. Some deployments even reach citizens directly, such as the Ukrainian Embassy in the Czech Republic’s virtual assistant, which offers information to Ukrainian citizens.

Now, the new wave of AI, underpinned by generative AI’s foundational models, presents a significant opportunity to harness AI’s potential for the public good.

Three Key Focus Areas

To embark on this transformative journey, government agencies must focus on three key areas where AI use cases can make the most significant impact:

1. Workforce Transformation: AI offers the potential for digital labour, freeing public employees from repetitive tasks and enabling them to engage in high-value activities. Training existing staff in AI-related skills and technologies is crucial, as it can lead to increased productivity.

2. Citizen Support: Prioritizing use cases that directly benefit citizens is paramount. AI can provide real-time information, personalize services, and expedite traditionally sluggish processes, creating a more user-friendly government.

3. Digital Transformation: Legacy systems often hinder government agencies’ digital transformation efforts. AI can facilitate the migration of technology systems to the cloud, enhancing data utilization, cost optimization, cybersecurity, and talent acquisition.

Commitment to Responsible AI

Responsible AI deployment is non-negotiable. Governments must ensure ethical use throughout AI’s lifecycle, from design and development to use and maintenance. IBM advocates for the five fundamental properties of trustworthy AI: explainability, fairness, transparency, robustness, and privacy.

• Explainability: AI should provide human-interpretable explanations for its predictions.
• Fairness: AI must treat individuals or groups equitably, countering biases and discrimination.
• Transparency: Information on AI’s design, development, and data sources should be shared.
• Robustness: AI should effectively handle exceptional conditions.
• Privacy: AI must prioritize and safeguard consumers’ privacy and data rights.

With these principles in place, AI can empower governments of all sizes, even the smallest agencies. It can enhance state and local governmental projects, improving how employees and citizens access information about policies and government-issued benefits.

As we navigate the age of AI, equipped with knowledge, responsibility, and AI tools, the public sector can shape a brighter future for all. IBM is committed to unleashing the potential of foundation models and generative AI to address high-stakes challenges, offering responsible AI solutions for businesses and public sector institutions through IBM Watson. Together, let’s embrace the age of AI value creation and drive positive change.

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Understanding the depth of these transformative forces is critical, as they intricately shape the landscape of global trade and supply chain financing. From surging inflation rates to geopolitical complexities and increasingly intricate supply chains, the call for enhanced supplier visibility and traceability has never been louder, especially in the pursuit of Environmental, Social, and Governance (ESG) goals.

Shifting from Fragmented to Data-Driven Supply Chains

Meeting these challenges necessitates a shift from manual to data-centric supply chain operations. Consequently, organizations are embracing digitalization to streamline processes and reduce costs.

Technology is pivotal in uniting fragmented manual procedures into a connected and digitized trade ecosystem. This transformation establishes a single source of truth across all stakeholders, fostering trust and efficiency in global trade.

IBM’s Leading Role in Trade Finance Digitization

IBM has been at the forefront of this digital revolution, bringing forth a myriad of advantages. These include real-time visibility into supply chains, the elimination of paper-based processes, enhanced accuracy in cash-flow forecasting, and bolstered supply chain resilience. To underscore these benefits, IBM has adopted a platform-centric approach to modernize trade finance procedures, harnessing the potential of “as-a-service” business models.

The Transformative Influence of AI and Industry Cloud Platforms

At the heart of IBM’s platform is the IBM Cloud for Financial Services, a unique cloud solution tailored to the specific requirements of regulated industries. IBM Consulting’s advisors and managed services are instrumental in expediting the journey towards trade digitization.

Iain MacLennan, Head of Trade and Supply Chain Finance at Finastra, underscores the significance of this transformation: “With digitalization being a prerequisite for corporate growth, the modernization of banks’ processes paves the way for substantial digitization of their trade finance operations.”

Discover How IBM’s Innovative Approach Can Shape Your Trade Finance Journey

In Conclusion— In an increasingly digital world, organizations must wholeheartedly embrace digital transformation to conduct transactions swiftly, securely, and with an unwavering focus on compliance and security. IBM’s pioneering work in this domain represents a significant leap forward. What are your insights on this transformative journey? We welcome your comments below! Stay updated with all the latest News around Technology and Innovation with Techinsight.

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In an exciting development, Sally Kornbluth, the esteemed President of MIT, and Provost Cynthia Barnhart, took the initiative in July by inviting research papers on the comprehensive dominion of generative AI. They received a resounding positive response; every school at MIT stepped forward to investigate the possible applications and formidable impacts of generative AI on a range of fields – from climate conservation to education, healthcare, and even the realm of art and literature.

MIT Invests in Transformative Potential of Generative AI

A total of 27 ground-breaking proposals have been rewarded with preliminary grant funding, promising inspiring insights into the potential of generative AI to transform society. The papers, submitted by cross-functional teams from all five MIT schools and the MIT Schwarzman College of Computing, explore both the potential benefits and drawbacks of generative AI.

“In the past year, generative AI has captured the public imagination and raised countless questions about how this rapidly advancing technology will affect our world. This summer, to help shed light on those questions, we offered our faculty seed grants for the most promising ‘impact papers’ — proposals to pursue intensive research on some aspect of how generative AI will shape people’s life and work.

I’m thrilled to report that we received 75 proposals in short order, across an enormous spectrum of fields and very often from interdisciplinary teams. With the seed grants now awarded, I cannot wait to see how our faculty expand our understanding and illuminate the potential impacts of generative AI.”

– Sally Kornbluth

Timelines and Collaborations for Generative AI Research

The selected research teams will each receive a grant between $50,000 and $70,000, to produce 10-page impact papers due by December 15. These papers will subsequently be circulated widely through a publication venue curated by the MIT Press and the MIT Libraries. The enduring responses have already kindled fresh collaborations; another call for more proposals is expected later this semester.

“It was exciting to see the broad and diverse response which the call for papers generated. Our faculty have contributed some truly innovative ideas. We are hoping to capitalize on the current momentum around this topic and to support our faculty in turning these abstracts into impact that is accessible to broad audiences beyond academia and that can help inform public conversation in this important area.”

– Asu Ozdaglar, Head of the Department of Electrical Engineering and Computer Science

Support from Innovation Scholar

One of the significant contributors to this innovative effort is Thomas Tull, a former innovation scholar at the MIT School of Engineering and currently a participant of the School of Engineering Dean’s Advisory Council. His passionate endorsement of the project emphasizes the importance of a diverse, informed public dialogue about the future of AI.

In Summary

Through active funding and support, the researchers at MIT are actively shaping a future influenced by generative AI. In tackling questions of the technology’s impact across a sweeping range of sectors, they are positioning this research at the forefront of AI development – a thrilling prospect for technology enthusiasts and casual observers alike. What aspects of these generative AI research projects intrigue you the most? Please feel free to engage in the comment section below.

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NIH and The Crucial Role of AI in Public Health

On a recent GovFuture podcast, Dr. Susan Gregurick, Associate Director for Data Science and Director of the Office of Data Science Strategy at the NIH, shared some fascinating insights. She disclosed how the NIH is employing advanced analytics to bolster data-driven decision-making and highlighted the unique challenges the NIH faces related to data privacy and security.

“AI and advanced analytics really does speed the discovery of science and for us, bringing treatment and cures to keep people healthy,” Dr. Gregurick shared, emphasizing the critical role of AI in public health.

AIM-AHEAD: NIH Leading the Way for Health Equity and Researcher Diversity

One of the major milestones in this endeavor is the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program. AIM-AHEAD collaborates with researchers across the country to enhance the representation of researchers and communities in the development of AI models.

Dr. Gregurick said, “AIM-AHEAD is focused on recruiting new students and new scholars, funding new cutting-edge programs and priorities and really making an impact in AI models and the AI community.”

Through the use of AI, the NIH has enhanced the analytic speed of diagnostics and treatment capabilities. Dr. Gregurick recounted, “With the advent of AI, we can now very quickly sequence the entire genome of the infant compared against a number of variants for over 13,000 genetic disorders. And in five minutes, actually pinpoint what that disorder might be and then increase the capacity to develop the therapeutics that that infant might need.”

However, the increased use of private medical data brings about concerns of data security, privacy, and ethics. Dr. Gregurick revealed how the NIH handles these challenges. “We’ve standardized the way that researchers can gain access to controlled access data repositories. This is called Research Health Services, or RHS. RHS provides a single sign-on capability.”

The work by the NIH embodies the profound potential of AI in public health. From speeding up diagnostics to enhancing research diversity, the positive impacts are significant. The potential of AI in transforming healthcare is limitless, and this is just the beginning.

We would love to hear your thoughts on this transformative initiative. How do you perceive the role of AI in public health? How can we further ensure data privacy while maximizing the benefits of AI? Feel free to comment below.

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