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Large language models are built to hallucinate.

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Artificial intelligence (AI) is increasingly making its presence felt in editorial offices and creative professions, reshaping the way content is produced and consumed. BurdaForward, a leading media company, illustrates how collaborative hybrid teams comprising both humans and machines can thrive, emphasizing the indispensable role of humans and the paramount importance of trust.
The way we access news and information has undergone a profound transformation in recent years. Traditional media outlets have experienced a decline in circulation and sales, prompting the industry to grapple with increasing competition, time constraints, and financial pressures. In this evolving landscape, can media companies still deliver high-quality and innovative content, or are we witnessing the rise of AI-generated news?
Oliver Markert, Creative Development Director at BurdaForward, sheds light on this paradigm shift. While certain types of news, such as weather updates or traffic reports, can be efficiently generated by AI, the essence of journalism – capturing human experiences, understanding societal dynamics, and crafting compelling narratives – remains firmly rooted in human intellect and intuition.
Hybrid teams, comprising both humans and AI, offer the best of both worlds. AI streamlines processes, optimizes content delivery, and enhances productivity, allowing human editors to focus on investigative reporting, storytelling, and ensuring editorial quality. By harnessing AI’s capabilities, media companies can produce a diverse range of content more efficiently and effectively.
However, the integration of AI in editorial workflows raises important questions about transparency, accountability, and ethical considerations. Consumers are increasingly wary of AI-generated content, particularly in an era of “fake news” and misinformation. Maintaining trust and credibility is paramount, requiring media companies to uphold journalistic standards, verify sources, and clearly distinguish between human-generated and AI-generated content.
Despite the transformative potential of AI, human creativity and critical thinking remain irreplaceable. The synergy between human ingenuity and technological innovation holds the key to unlocking new possibilities and driving meaningful change in the media industry. As AI continues to evolve, media companies must navigate the ethical and practical challenges while harnessing its potential to enrich storytelling, engage audiences, and uphold the integrity of journalism.
Source: db.com
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CHOROLOGY Emerges to Apply Generative AI to Data Governance

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CHOROLOGY.ai has emerged from stealth mode with a focus on applying generative artificial intelligence (AI) to enhance data governance. The company has developed a specialized language model tailored to discover various data types, simplifying compliance, ensuring data privacy, and enhancing security posture enforcement.
CEO/CTO Tarique Mustafa highlighted that their auto-data discovery engine, coupled with auto-data classification and mapping engines, eliminates the need for pre-processing data to enforce governance and compliance policies. This capability collectively allows organizations to significantly reduce the total cost of data governance.
Moreover, the domain-specific language model enables cybersecurity and IT teams to utilize natural language queries, reducing the expertise required to govern data effectively. Mustafa emphasized that this approach will democratize compliance, making it easier for organizations of all sizes to meet diverse regulatory mandates.
With the advent of stringent data privacy regulations like the California Consumer Privacy Act of 2018 (CCPA), Mustafa underscored the necessity for organizations to adopt more efficient data governance strategies. Rather than relying on large language models (LLMs), CHOROLOGY.ai chose to develop a domain-specific model tailored specifically for data governance. This model is extended through multiple engines for data discovery, classification, and mapping.
The transformative potential of AI in data security is undeniable. CHOROLOGY.ai anticipates that organizations managing sensitive data will prefer domain-specific models trained explicitly for data management. As data volumes continue to grow exponentially, effective data governance and security will increasingly rely on AI technologies. However, the company also acknowledges the looming threat of cybercriminals leveraging AI for malicious purposes.
The challenge lies in securing the necessary funding to deploy AI technologies across organizations for real-time data governance and security. While it may take years for all platforms and tools to integrate AI capabilities fully, organizations can rationalize costs by prioritizing AI-infused upgrades and adjusting spending on perimeter-focused security solutions. As applications evolve, traditional security paradigms are evolving, necessitating a shift towards AI-driven data governance controls.
In conclusion, the future of data security hinges on effectively harnessing AI. The ongoing challenge is to determine the most efficient and impactful ways to apply AI technologies to manage and secure data effectively in a rapidly evolving digital landscape.
Source: securityboulevard.com
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Problems that take a decade to solve can potentially be achieved in a year with AI, says Automation Anywhere’s Prince Kohli

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In Short

AI-enabled automation can help reduce costs for companies.
Automation Anywhere offers a suite of AI tools to automate work processes.
Specific tasks within organizations can be automated using AI Agents.

Artificial intelligence (AI) and automation are transforming industries at an unprecedented pace. Companies are leveraging these technologies to accelerate processes, enhance productivity, and create innovative solutions. At the Imagine AI event in Austin, Texas, India Today spoke with Prince Kohli, CTO of Automation Anywhere, about how AI is revolutionizing automation and how enterprises can responsibly deploy these advancements without compromising digital security.
The Power of AI-Enhanced Automation
Is automation still relevant with AI in the picture? “Automation uses AI to get better,” said Prince Kohli. “It will always be complementary.” He emphasized that AI is a powerful tool for understanding and extracting valuable information, which is then used to optimize automated processes. For instance, in the banking sector, AI can analyze millions of transactions daily to identify anomalies, flag suspicious activities, and ensure compliance. This synergy between AI and automation enables tasks to be completed with greater productivity and accuracy than ever before.
One significant advantage of AI in automation is its ability to reduce time-intensive processes. “In drug discovery, what typically takes a decade can potentially be achieved in a year with AI,” Kohli noted. This dramatic reduction in time is not limited to pharmaceuticals but spans various industries, enhancing efficiency and output.
AI Tools for Seamless Integration
California-based Automation Anywhere provides a suite of user-friendly tools designed to make AI integration seamless for enterprises. These tools are developed to be accessible while concealing the complexities of the underlying technologies. Kohli highlighted the company’s Co-Pilot feature, launched last year at the Imagine event, which integrates with applications like Microsoft and Salesforce. “We are trying to ensure that companies don’t have to understand the complexities of the process or the technology and can still use them,” he said. This approach allows even non-technical users to harness the power of AI to drive productivity.
Training and skill development are crucial for effectively deploying AI tools. “We enable people to create those tools and provide training on how to use them,” Kohli mentioned. For developers, Automation Anywhere offers functionalities like prompt auto-tuning, allowing them to create models and set up guardrails effortlessly. This democratization of AI tools promotes broader adoption and innovative use cases within organizations.
Real-World Applications in India
Kohli shared several success stories from India, highlighting tangible benefits from AI-enhanced automation for clients like Tata Sky and Indian Oil Corporation. In contact centers, processes that used to take 6-8 minutes are now significantly faster due to AI’s ability to pull relevant customer information instantly. “When it’s an email, the AI can parse the data and provide a comprehensive answer to the query,” Kohli said, illustrating how AI agents are evolving from basic support tools to intelligent assistants.
Source: indiatoday.in
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Concentric AI Launches First Data Security Control for Compliance

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Concentric AI has announced the integration of new industry compliance capabilities into its Semantic Intelligence Data Security Posture Management (DSPM) solution.
These innovative features enable Concentric AI to identify data risks within organizational environments relevant to various compliance frameworks, address these issues, and meet compliance regulations more effectively than any other product on the market.
The enhanced compliance functionality offers comprehensive, out-of-the-box monitoring and reporting for popular regulations and frameworks such as HIPAA, NIST, PCI, HITRUST, ISO 27001, SOC 2, GLBA, SOX, GDPR, CCPA, among others. This allows organizations to efficiently track their compliance progress across multiple regulatory standards.
The new capabilities facilitate easy mapping of data security controls to specific enterprise environments, ensuring adherence to various regulatory requirements. Organizations can leverage Concentric AI to implement these security controls and evaluate their compliance status. Unlike competing solutions, Concentric AI provides a transparent view of an enterprise’s compliance status, with the ability to delve into specific frameworks and controls.
“Enterprises today need their data security posture management solutions to address their data security and governance needs,” said Karthik Krishnan, Concentric AI Founder and CEO. “With Concentric AI, they also gain proactive discovery, monitoring, and remediation capabilities to meet their data security and compliance requirements. Our new compliance functionality gives organizations a detailed understanding of their compliance status and enables them to take proactive measures to address any gaps and meet their compliance needs.”
Concentric AI’s new compliance features break down each regulation and standard into specific controls and rules, mapping them to data security requirements and status within an organization. The solution identifies relevant rules for each regulation, maps controls under each rule to specific data security requirements, monitors and reports on current status, provides actionable insights, remediates issues, and tracks the organization’s progress.
The user-friendly compliance dashboard offers an overall compliance score, detailed sections for each regulation, and a breakdown of control tests and failed assets for audit reports. This allows organizations to easily identify and address any compliance risks, ensuring their data security posture remains robust and compliant with regulatory standards.
Source: bisinfotech.com
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