Business

Monte Carlo First Data + AI Observability Company to Launch Native Integrations with Salesforce to Ensure Reliable, AI-Ready Customer Data

Published

1 month ago

August 5, 2025

Monte Carlo, the leader in data + AI observability, unveiled its new suite of native integrations with Salesforce, empowering teams to ensure trust in the data that powers critical business workflows and AI applications.

Also Read: AiThority Interview with Dr. Petar Tsankov, CEO and Co-Founder at LatticeFlow AI

With this release, Monte Carlo becomes the first data + AI observability platform to provide end-to-end monitoring for Salesforce CRM and Salesforce Data Cloud—two of the most business critical and data-rich systems in the enterprise. Monte Carlo’s integration with Salesforce Data Cloud provides AI-ready data to Agentforce—Salesforce’s AI agent platform—that allows users to build, customize, and deploy autonomous AI agents to support employees and customers.

Early access users are already identifying business-critical use cases for this new integration:

“Monte Carlo’s Salesforce integration will unlock a whole new level of confidence in our CRM data. We’re excited to catch issues—like missing fields or broken syncs—before they hit Snowflake or affect reporting. Moreover, as we are in a process of deprecating formula fields, we will use this feature to ensure reliability across all pipelines. We’ll be able to stop bad data before it affects our Go-To-Market operations, improving executive trust in our insights. Best of all, it will save our OPs teams hours and promoting data quality as everyone’s responsibility.” — Pedro Sá Martins, Head of Engineering at Outsystems

Keep reading to learn more about what Monte Carlo’s new native Salesforce integration can do—and how you can use it to unlock more value from your Salesforce data.

Bringing Trust to Salesforce Data

Salesforce data drives business-critical decisions across go-to-market teams. Yet data quality issues like duplicates, nulls, and invalid formats often go undetected until it’s too late—resulting in missed revenue, wasted budget, and eroded customer trust.

With Monte Carlo’s new Salesforce integrations, teams can now monitor the reliability of CRM and Data Cloud data directly within the Salesforce environment, making it easy for both data teams and business users to detect, triage, and resolve data issues without having to wait until it lands in the warehouse.

The integration delivers powerful benefits across the modern enterprise:

Data, sales, and revenue operations teams can work together to quickly trace and resolve issues before they impact downstream systems
Marketing teams can validate their 360-degree customer profiles, reducing wasted spend on misdirected campaigns
AI teams can create powerful applications knowing the underlying data is reliable
Business users can leverage Agentforce to automate their day-to-day workflow with the same trustworthy data

“Salesforce is one of the most mission-critical systems in the enterprise, but when you think about just how many individuals it touches in a given organization, it should come as no surprise that it’s vulnerable to bad data,” said Lior Gavish, co-founder and CTO of Monte Carlo. “With this integration, we’re helping customers ensure the accuracy of this critical data source, where the potential issues can often be the most damaging and hardest to detect.”

Native, Scalable, and Easy to Use

Key features of the new integration include the ability to:

Catch data quality issues early, like nulls, duplicates, and missing values—before they impact dashboards or decision-making
Ensure data consistency across systems, by monitoring syncs between Salesforce and your warehouse or lakehouse
Prevent broken reports and workflows, with timely alerts for schema changes in Salesforce CRM and Data Cloud
Apply custom business logic checks to spot the issues that matter most to your team

Also Read: Developing Autonomous Security Agents Using Computer Vision and Generative AI

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

Source link

Business

PTI Chairman on AI-led Business Demand

Published

1 hour ago

September 10, 2025

The Editors

DK Tsai, Chairman of PTI, shares how AI is creating the need for new packaging solutions, and how the business is looking at new countries for expansion, including the US. He speaks exclusively on the sidelines of Semicon Taiwan with Annabelle Droulers on “Bloomberg: The China Show.”

Source link

Business

AI Gold Rush Breeds Harsh 996 Work Routine In Silicon Valley | Business News

Published

2 hours ago

September 10, 2025

Varun Yadav

Last Updated:September 10, 2025, 10:22 IST

Silicon Valley tech giants battle for AI dominance, offering huge pay and adopting the 9-9-6 culture in San Francisco startups.

The race for AI heats up, with tech companies in Silicon Valley pouring billions into overpowering others and grabbing the largest pie in the emerging market. Companies have reportedly begun poaching human resources by offering millions of dollars in a pay package. No one wishes to lag behind when things are high at stake. Everyone is ready to pour sweat and blood, literal and metaphorical.

At the center of this heated race, a new culture called 9-9-6 has emerged in the startups of San Francisco, USA.

What Is 9-9-6 Culture?

It means employees of these startups work from 9 in the morning to 9 in the evening, Monday through Saturday. It translates to 72 hours of work weekly, going away from 4 or 5 day work week culture being promoted across Europe, particularly Nordic countries for more leisure time.

An X handle named TBPN in the post said that they checked the receipts and found that the claims are “true” – Saturdays have become a workday. “The great lock-in is in full effect,” it added.

Many San Francisco startups claim they practice 9-9-6, so we checked the receipts.We worked with Ramp to look at the data and it’s true – Saturdays have become a workday.

The great lock-in is in full effect. pic.twitter.com/MbwAICe3Dy

— TBPN (@tbpn) September 8, 2025

AI War Among Tech Titans

Several big tech giants, including Meta, Google, Microsoft and Amazon, have poached the startup founders with a high paycheck to work with their teams building the smartest Large Language Models (LLMs) and improving the hot application-based technology. For instance, Meta shocked the tech industry when it announced to invest a $14.3 billion in data labelling startup Scale AI. As part of the agreement, Meta took a 49% stake in the company, hired its CEO Alexandr Wang to lead a new superintelligence lab and said it would deepen the work it does with Scale.

Since the inception of ChatGPT by OpenAI in late 2020, the official age of AI has begun. Two years after the trailblazing technology, there’s no official winner, but a sudden push to have everything as AI-laced.

Business Desk

A team of writers and reporters decodes vast terms of personal finance and making money matters simpler for you. From latest initial public offerings (IPOs) in the market to best investment options, we cover al…Read More

First Published:

September 10, 2025, 10:22 IST

News business AI Gold Rush Breeds Harsh 996 Work Routine In Silicon Valley

Disclaimer: Comments reflect users’ views, not News18’s. Please keep discussions respectful and constructive. Abusive, defamatory, or illegal comments will be removed. News18 may disable any comment at its discretion. By posting, you agree to our Terms of Use and Privacy Policy.

Source link

Business

How AI Revolutionises Customer Service and Transforms Global Business

Published

2 hours ago

September 10, 2025

Alex Rivers

Artificial intelligence is rapidly reshaping the landscape of customer service, offering businesses new ways to engage with consumers and streamline operations. From chatbots to predictive analytics, AI-driven solutions are now at the forefront of digital transformation, enabling organisations to deliver faster, more personalised support. As industries adapt, the implications for business models and consumer expectations are profound and far-reaching.

The Expanding Role of AI in Customer Engagement

The integration of AI into customer service has moved well beyond simple automation. Today, intelligent systems can interpret natural language, understand context, and even anticipate customer needs before they arise. This shift allows companies to provide round-the-clock assistance, reduce response times, and resolve issues with greater accuracy. For example, virtual assistants powered by machine learning can handle complex queries, freeing human agents to focus on higher-value interactions. As AI transforms customer interactions, consumers increasingly look for intuitive platforms, a trend also reflected in how users select reliable sports betting sites that offer seamless digital experiences.

How Cross-Industry Adoption Impacts Business

AI-driven customer service is not confined to any single sector. Financial institutions deploy AI to detect fraud and offer tailored product recommendations, while retailers use it to personalise shopping experiences and manage inventory. Healthcare providers leverage AI-powered chatbots to triage patient inquiries and streamline appointment scheduling. This widespread adoption is driving operational efficiencies and enabling businesses to scale support without compromising quality. Many companies in the UK attribute their rapid growth and resilience in 2025 to strategic adoption of AI technologies and innovative business models, as highlighted in an article detailing the UK business success secrets that can inspire emerging enterprises.

Addressing Challenges and Shaping the Future

Despite the clear benefits, integrating AI into customer service presents challenges. Data privacy, algorithmic bias, and the need for transparent decision-making remain top concerns for both businesses and consumers. Companies must invest in robust governance frameworks and continuous training to ensure AI systems are ethical, secure, and aligned with customer expectations. Looking ahead, the evolution of AI will likely see even deeper personalisation, with systems learning from every interaction to refine their responses. As technology matures, organisations that prioritise trust, transparency, and human-centric design will be best positioned to thrive in this new era of customer engagement.

AI as a Catalyst for Transforming Business

The rise of AI in customer service marks a pivotal moment for global business. By embracing intelligent technologies, companies can enhance customer satisfaction, unlock new efficiencies, and gain a competitive edge. The journey is ongoing, and the most successful organisations will be those that balance innovation with responsibility, ensuring that technology serves both business goals and the evolving needs of their customers. As AI continues to advance, its role as a catalyst for transformation across industries is set to grow, offering exciting opportunities for those ready to adapt.

Source link