乐鱼(Leyu)体育官网

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Helping clients meet their business challenges begins with an in-depth understanding of the industries in which they work. That鈥檚 why 乐鱼(Leyu)体育官网 LLP established its industry-driven structure. In fact, 乐鱼(Leyu)体育官网 LLP was the first of the Big Four firms to organize itself along the same industry lines as clients.

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Harnessing the power of AI responsibly

Gain insights on how 乐鱼(Leyu)体育官网 and Oracle can help drive efficiency and reliability with a trusted and secure AI framework and platform.

乐鱼(Leyu)体育官网 named a 鈥淟eader鈥� in Oracle Services by Forrester

In an era where artificial intelligence (AI) is reshaping industries and redefining competitive landscapes, businesses must deploy AI responsibly. Organizations are rapidly integrating AI into their strategic plans as they recognize its potential to drive significant growth and transformation. However, this rapid integration brings complex challenges that require a robust framework for trust and responsibility. 乐鱼(Leyu)体育官网 and Oracle are at the forefront in guiding organizations on how to use AI effectively while addressing these challenges.

The rise of AI in business

A recent 乐鱼(Leyu)体育官网 executive survey on AI showed that AI is not just an experimental venture鈥攊t is at the core of strategic transformations across sectors:

  • An astounding聽97% of business leaders聽are earmarking investments in GenAI within the next year.
  • Approximately聽40%聽are poised to invest over聽$100 million, underscoring AI鈥檚 critical role in future growth paradigms.

AI trends

The AI landscape is rapidly evolving. Multimodal large language models (LLMs) integrate diverse data types, enhancing AI's understanding capabilities. Embedded AI is increasingly incorporated into daily applications, making smart technology ubiquitous. Autonomous AI agents are also streamlining customer interactions and operations. Meanwhile, advancements in smaller, efficient LLMs and Q-learning are democratizing AI usage. As these technologies progress, emphasizing trustworthy AI ensures they are developed ethically, prioritizing聽transparency and fairness to build user trust and compliance.

Oracle is actively engaging with these trends through its comprehensive suite of AI solutions. For example, Oracle Digital Assistant uses AI to power conversational interfaces, effectively acting as an AI agent that can understand and respond to user inputs across multiple modes of communication. Oracle Fusion Applications are also enhancing enterprise functions by embedding AI directly into business processes to enable seamless, intelligent operations across finance, HR, and supply chain management.

Source: 1乐鱼(Leyu)体育官网 Trusted AI Framework + Oracle鈥檚 Secure AI Platform Webcast

AI drives transformation across business functions

AI is fundamentally transforming business operations from the front office to the back office. In the front office, it revolutionizes sales, marketing, and customer service by enabling personalized experiences, enhancing predictive analytics, and automating support tasks. In the middle office, AI streamlines operations through improved demand forecasting, anomaly detection, and increased employee productivity. The back office gains from AI through intelligent forecasting, automated contract reviews, and HR chatbots in finance, legal, risk management, and human resources. However, to implement AI effectively and responsibly, it is crucial to address challenges such as trust, compliance, security, and privacy. Adopting a trusted AI framework is essential to ensure AI deployments are both ethical and sustainable.

Addressing challenges in AI implementation

Implementing AI introduces significant challenges that must be addressed to ethically and effectively harness its full potential:

1

Trust and compliance:

At the heart of AI deployment, trust and compliance issues call for stringent measures to ensure transparent and accountable AI practices. This is crucial not only for ethical reasons but also for maintaining public trust and adhering to regulatory standards.

2

Security concerns:

As reliance on AI grows, concerns over data protection and systemic vulnerabilities have become more pronounced. Implementing rigorous security measures is essential to safeguard sensitive information and protect AI systems from potential threats.

3

Operational integration:

As AI technologies rapidly evolve, organizations face the challenge of integrating these systems smoothly and sustainably. Robust frameworks are required to effectively manage, monitor, and scale AI implementations so they align with business objectives without disrupting existing workflows.

乐鱼(Leyu)体育官网 builds trust with an AI framework

The 乐鱼(Leyu)体育官网 Trusted AI framework is designed to create robust mechanisms throughout the entire AI lifecycle, enhance safe, ethical, and responsible deployment of AI. It is founded on the principles of globally recognized standards like NIST, ISO 42001, and other global regulations. This framework is structured around ten ethical pillars (see figure below) which guide organizations in developing AI solutions that are not only effective but also uphold the highest ethical standards.

Source: 1乐鱼(Leyu)体育官网 Trusted AI Framework + Oracle鈥檚 Secure AI Platform Webcast

Oracle鈥檚 integrated AI solutions

Oracle鈥檚 approach to AI transcends technological innovation by embedding sophisticated AI capabilities throughout its comprehensive technology stack. This commitment ensures each integration not only enhances system performance but also adheres to the highest standards of security and ethical practices, fostering trust and compliance across various service layers. Key elements of Oracle's AI offerings include:

  • Oracle Cloud Infrastructure (OCI): OCI offers a robust and secure platform that supports AI model deployment, providing the necessary infrastructure for scalability, performance, and reliability. By ensuring a secure environment, OCI helps businesses deploy AI responsibly, maintain data integrity, and build trust.
  • Autonomous Database and AI-Driven Analytics: Oracle鈥檚 Autonomous Database is designed to reduce human error and increase efficiency through its self-managing capabilities, which are aligned with stringent data protection standards. Within this database environment, AI-driven analytics aim to provide transparent and timely data insights, which can support swift and informed decision-making.
  • Embedded AI in Oracle Fusion Applications: When integrated directly within Oracle Fusion Applications for finance, HR, and supply chain management, AI functionalities are developed to uphold ethical AI usage. These applications enhance operational workflows and personalize user experiences, while ensuring responsible data handling and user privacy.
  • Digital assistants and advanced AI services: Oracle鈥檚 suite includes digital assistants and AI services that enhance customer engagement and streamline operations through intelligent, context-aware interactions. These tools reinforce trust in AI applications by prioritizing user privacy and offering transparent operations.

Embarking on a trusted AI journey

Embarking on a trusted AI journey involves critical cross-functional collaboration across departments鈥攊ncluding risk management, legal, public affairs, regulatory affairs, and business representation. This strategic approach addresses the multifaceted challenges posed by AI technologies and guides organizations through an extensive and responsible AI integration process.

Key focus areas

01
AI ethics and governance:

Effective AI ethics and governance involve establishing robust oversight structures that ensure AI initiatives align with both ethical standards and organizational goals. This area focuses on developing foundational policies that ensure consistent ethical oversight by guiding ethical AI usage and dynamically adapting to evolving technological and regulatory landscapes.

02
Machine Learning Operations (MLOps):

Machine Learning Operations focuses on embedding best practices throughout the ML model lifecycle to enhance consistency, efficiency, and accountability. This involves rigorous process standardization and the establishment of governance protocols that enhance he integrity and fairness of machine learning models.

03
AI security:

AI security is crucial to protecting systems against cyber threats and ensuring data privacy. By reinforcing AI systems with strong security measures and conducting regular risk assessments, organizations can identify and mitigate potential vulnerabilities. This proactive approach helps maintain the security and integrity of AI operations.

04
Use case enablement:

Use case enablement requires identifying and prioritizing AI applications that can significantly impact business processes. Collaborating closely across departments is essential to develop and integrate tailored AI solutions that enhance operational efficiency without disrupting existing workflows.

The era of artificial intelligence is here, reshaping our world and requiring immediate and thoughtful engagement. By adhering to principles of trust, ethics, and responsibility, we can unlock the full potential of AI as a force for positive change and innovation. Deploying trusted AI requires a solid framework, a commitment to ethical practices, and a proactive approach. With robust technologies like those offered by Oracle and the strategic guidance of 乐鱼(Leyu)体育官网, we can lead the way in this new era of intelligent innovation. Together, we can forge a future where AI drives business growth while upholding the highest ethical standards, creating a sustainable and equitable tomorrow.

乐鱼(Leyu)体育官网 and Oracle | Featured client stories

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Gautham Ramkumar
Advisory Managing Director , Cybersecurity & Tech Risk, 乐鱼(Leyu)体育官网 US

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