AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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Data Science Dojo

FEBRUARY 29, 2024

Flexibility: Companies are increasingly preferring the flexibility to switch between open and proprietary (closed) models to mitigate risks associated with relying solely on one type of model. Welcome to the world of open-source large language models, where the future of technology meets community spirit.

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Dataconomy

SEPTEMBER 6, 2023

This includes conducting regular vulnerability scans, patch management, and configuration compliance scanning. In today’s digital age, cybersecurity and MSSPs have become an integral part of every organization’s security posture. The results of these tests help the MSSP refine their security strategies and improve protection.

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IBM Data Science in Practice

MARCH 8, 2023

While AI lifecycle governance is essential to risk management and regulatory compliance, today much of this is done manually and across disparate tools, creating costly overheads and an unwieldy operating model. AI risks include operational, legal, reputational, and regulatory risks.

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Dataconomy

MARCH 12, 2024

Commission’s data practices ruled unsafe The EDPS initiated its investigation into the Commission’s use of Microsoft 365 back in May 2021, fueled by concerns over transatlantic data transfers and compliance with the EU’s General Data Protection Regulation (GDPR). This is a serious ultimatum with major consequences.

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AWS Machine Learning Blog

MAY 9, 2024

The CoE team synergizes business acumen with profound technical AI/ML proficiency to develop and implement interoperable, scalable solutions throughout the organization. The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. What is an AI/ML CoE?

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Dataconomy

OCTOBER 25, 2023

The need for secure and compliant cloud solutions has never been more pressing, especially within the intricate regulatory landscape of Europe. The AWS European Sovereign Cloud is not just another cloud solution; it’s a bold declaration of the importance of digital sovereignty and data protection within the European Union.

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Dataconomy

JUNE 19, 2023

This has made people worried about their privacy and how their data is being handled. It’s about finding a balance between using data to improve our online experiences and making sure our privacy is respected. When we use the internet, we leave a trail of data behind us. But there’s a problem. But it’s not just that.

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IBM Journey to AI blog

FEBRUARY 5, 2024

Envisioned to comprehensively address information and communications technology (ICT) risk management in financial services, DORA aims to harmonize existing regulations across EU member states. Furthermore, the RTS Article 6 highlights the necessity for all networked traffic, both internal and external, to be encrypted.

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IBM Data Science in Practice

MARCH 7, 2023

Introducing IBM AI Governance to unlock full potential of AI investments while mitigating risks I am a big fan on Thomas Friedman. Drivers for AI Governance The need for AI Governance is quickly increasing because of regulatory compliance, responsible AI, risk mitigation, and new stakeholders of AI.

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Becoming Human

APRIL 19, 2024

The prospect of enhanced efficiency, improved decision-making, and pioneering innovations has propelled the integration of AI solutions into business strategies. The prospect of enhanced efficiency, improved decision-making, and pioneering innovations has propelled the integration of AI solutions into business strategies.

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Dataconomy

APRIL 22, 2024

Processes like data entry, transaction reconciliation, and compliance reporting, traditionally requiring extensive human effort, can now be executed swiftly and accurately by AI-powered systems. Risk management Risk management is largely improved through AI’s predictive analytics capabilities.

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IBM Journey to AI blog

FEBRUARY 22, 2024

We strongly believe the influx of data associated with AI will fuel tremendous business innovations, but requires strategic considerations, including around where data resides, data privacy, resilience, operational controls, regulatory requirements and compliance, and certifications. And our work doesn’t stop there.

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Data Science Connect

JULY 23, 2023

The move comes amid growing concerns about the potential misuse of generative AI, such as deepfakes, misinformation dissemination, and privacy violations. Furthermore, complying with the regulations can foster public trust in AI technologies, encouraging greater acceptance and adoption of AI solutions across various industries.

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Dataconomy

SEPTEMBER 4, 2023

Let’s delve into what cloud analytics is, how it differs from on-premises solutions, and, most importantly, the eight remarkable ways it can propel your business forward – while keeping a keen eye on the potential pitfalls. Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models.

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IBM Journey to AI blog

MAY 16, 2024

However, IT decision makers remain concerned about the risks associated with their digital infrastructure and the impact they might have on business outcomes, with data breaches and security concerns being the biggest threats. Automation for efficiency and security Data is central to all AI applications.

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Data Science Connect

JULY 24, 2023

By employing cryptographic principles, blockchain creates an immutable and tamper-resistant record of financial transactions, eliminating the need for intermediaries and reducing the risk of fraud. Data scientists leverage AI to optimize portfolio management, detect potential risks, and personalize financial services for customers.

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Smart Data Collective

SEPTEMBER 23, 2023

If you’re a manufacturer of IoT devices, you see compliance as something that keeps pushing product release deadlines further in the future. If you’re a consumer, you might not even know that your new smart TV or refrigerator can put your data at risk. As a result, there are many misconceptions about IoT security and its regulations.

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IBM Journey to AI blog

JANUARY 22, 2024

However, GDPR compliance is not necessarily a straightforward matter. The law outlines a set of data privacy rights for users and a series of principles for the processing of personal data. The law outlines a set of data privacy rights for users and a series of principles for the processing of personal data.

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IBM Journey to AI blog

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. We’ve seen what follows—financial crises, bailouts, destruction of capital, and losses of jobs.

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IBM Journey to AI blog

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Even the world’s biggest businesses are not free from GDPR woes.

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Dataconomy

AUGUST 24, 2023

Ethical data utilization Our age is marked by heightened awareness of data privacy and ethics and the spotlight on ethical data utilization has never been more intense. The BI landscape continues to evolve, with innovative projects taking center stage. The year 2023 brings forth a multitude of trends that will shape the BI.

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Dataconomy

MAY 14, 2024

Privacy breaches Data breaches occur when unauthorized persons gain access to private data. These attacks not only disrupt operations, but also pose a significant financial and reputational risk to organizations. Communication platforms have become an integral part of our personal and professional lives.

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IBM Journey to AI blog

FEBRUARY 5, 2024

A key part of identity management is governance, which guides ICAM functions and activities, including analytics to identify security risks and non-compliance. For federal and state governments and agencies, identity is the crux of a robust security implementation.

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IBM Journey to AI blog

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. It is an imperative.

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Smart Data Collective

MARCH 15, 2023

Furthermore, with the widespread adoption of cloud-based solutions, the risk of cyber-attacks has increased significantly. Therefore, it is imperative that businesses prioritize the implementation of robust cloud data security measures to protect sensitive data and mitigate the risks of cyber-attacks.

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Dataconomy

JUNE 26, 2023

Cybersecurity standards and frameworks provide a structured approach to safeguarding digital assets, establishing effective security controls, and ensuring compliance with relevant regulations. These standards serve as guidelines, best practices, and benchmarks that organizations can adopt to enhance their cybersecurity posture.

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IBM Journey to AI blog

NOVEMBER 29, 2023

Sharing and monetizing a high-quality, privacy-protected synthetic replica with internal stakeholders or external business partners. That said, synthesizing data offers more protection against traditional data privacy and data anonymization techniques (think of masking), while also doing a better job of preserving the data’s utility.

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Data Science Connect

JULY 20, 2023

It enables the creation of decentralized applications (DApps) that facilitate peer-to-peer interactions, without intermediaries, and offers innovative solutions to various industries, including finance, healthcare, and entertainment. Enhanced Security and Privacy Web3’s decentralized nature enhances security and privacy for travelers.

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IBM Journey to AI blog

DECEMBER 14, 2023

A cybersecurity strategy is not solely about managing risk across a business’ IT infrastructure. As enterprises scale infrastructure and systems to manage sensitive data and complex workloads, they must rely more on an ecosystem of partners to help them enhance their security and compliance without impacting performance and resiliency.

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Smart Data Collective

OCTOBER 31, 2022

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. Depending on your company’s location, industry, and function, cybersecurity regulatory compliance is a must. What Is Cybersecurity Regulatory Compliance?

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IBM Journey to AI blog

JANUARY 12, 2024

The global nature of cloud providers introduces a complex web of compliance challenges as data protection laws differ across regions. Robust encryption, granular access controls and privacy-preserving techniques become imperative to counter the risks of unauthorized data access and use.

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IBM Journey to AI blog

DECEMBER 18, 2023

As enterprises look to address these requirements and achieve growth while adopting innovative AI and hybrid cloud technologies, IBM will continue to meet clients wherever they are in their journeys by helping them make workload placement decisions based on resiliency, performance, security, compliance and cost.

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Data Science Connect

JULY 25, 2023

Approximately 65% of the surveyed logistics and manufacturing companies expressed their intention to implement blockchain solutions. As data scientists, we are always on the lookout for disruptive technologies that have the potential to reshape industries and revolutionize data management. Here are some notable findings: 1.

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Data Science Connect

JULY 25, 2023

Data scientists must seek data tools that support robust encryption algorithms, minimizing the risk of unauthorized access and data breaches. By adopting stringent access control measures, data scientists can mitigate the risk of insider threats and unauthorized access.

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IBM Journey to AI blog

MARCH 20, 2024

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more. This includes cyber incidents, technology failures, natural disasters and more. Similarly, in the U.S.

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Dataconomy

JANUARY 23, 2024

There are growing risks and costs for those platforms developing their own solutions, and the benefits are dwindling. There are growing risks and costs for those platforms developing their own solutions, and the benefits are dwindling. For Web3, the KYC/KYB process is a near-perfect case for specialization.

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