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How to integrate AI agents with Salesforce for better CX
Integrate AI agents with Salesforce to deliver 24/7 personalized customer experiences, automate tasks, boost efficiency, and drive smarter, data-driven decisions across your CRM ecosystem.
Chaitali Gaikwad
Jun 194 min read


How to train auto-service AI agents using vehicle telemetry
Learn how to train auto-service AI agents using vehicle telemetry to enable predictive maintenance, fault diagnostics, and smarter service experiences in connected vehicles.
Chaitali Gaikwad
Jun 185 min read


How to deploy conversational AI bots for customer service 24/7
In today's digital-first world, customers expect fast, accurate, and round-the-clock responses from brands. Traditional customer service...
Chaitali Gaikwad
Jun 184 min read


How to build BFSI AI agents for secure loan processing
Build secure AI agents in BFSI to streamline loan processing, enhance risk assessment, detect fraud, and ensure compliance — transforming how financial institutions operate.
Chaitali Gaikwad
Jun 175 min read


How to create manufacturing floor AI agents for defect detection
AI-powered defect detection agents transform quality control by enabling real-time, accurate inspections on the manufacturing floor, improving product consistency and reducing operational costs.
Chaitali Gaikwad
Jun 175 min read


How to implement AI agents for personalized retail experiences
Discover how to implement AI agents for personalized retail experiences—boosting conversions, engagement, and loyalty through smart recommendations, real-time insights, and seamless automation.
Chaitali Gaikwad
Jun 165 min read


Enhancing Pharmacovigilance with AI-Driven Literature Review
AI-driven literature review is revolutionizing pharmacovigilance by automating data extraction, improving signal detection, and enhancing drug safety through faster, accurate, and comprehensive scientific analysis.
Chaitali Gaikwad
Jun 66 min read


How Gen AI is Improving Aggregate Reporting and Data Analysis in Pharma
Generative AI is revolutionizing aggregate reporting in pharma, streamlining data analysis, enhancing accuracy, and accelerating compliance to improve drug safety and regulatory decision-making.
Chaitali Gaikwad
Jun 65 min read


Why AI-Based Literature Review is Essential for Drug Safety Monitoring
AI-based literature review streamlines drug safety monitoring by automating data extraction, enhancing accuracy, reducing manual workload, and ensuring faster detection of adverse drug reactions and safety signals.
Chaitali Gaikwad
May 155 min read


AI and Automation: Revolutionizing Signal Detection in Drug Safety
AI and automation are transforming signal detection in pharmacovigilance—delivering faster insights, improving accuracy, and enhancing patient safety through real-time data analysis and intelligent monitoring.
Chaitali Gaikwad
May 143 min read


AI for Local Literature Surveillance: Enhancing Drug Safety Monitoring
Discover how AI transforms local literature surveillance in pharmacovigilance, enabling faster, more accurate adverse event detection, improving compliance
Chaitali Gaikwad
May 144 min read


The Role of NLP in Automating Case Intake for Pharmacovigilance
Discover how Natural Language Processing (NLP) is transforming pharmacovigilance by automating case intake, improving data accuracy, boosting efficiency, and enabling real-time drug safety monitoring.
Chaitali Gaikwad
May 144 min read


Automating Local Literature Review: The Future of Pharmacovigilance
Automating local literature review revolutionizes pharmacovigilance—enhancing efficiency, consistency, and compliance while enabling faster, smarter detection of drug safety signals worldwide.
Chaitali Gaikwad
May 144 min read


Generative AI for ICSR Detection: Revolutionizing Adverse Event Identification
Generative AI for ICSR Detection: Revolutionizing Adverse Event Identification.
Chaitali Gaikwad
May 144 min read


How Generative AI Automates Case Intake for Faster and More Accurate Data Capture
Generative AI is transforming pharmacovigilance by automating case intake, enhancing data accuracy, speeding up workflows, and ensuring compliance for faster, smarter drug safety management.
Chaitali Gaikwad
May 134 min read


Automating Literature Review: Reducing Workload and Increasing Compliance
Automating literature review in pharmacovigilance boosts efficiency, reduces workload, and enhances compliance using AI-driven tools—ensuring faster, more accurate drug safety monitoring.
Chaitali Gaikwad
May 135 min read


Gen AI in Pharmacovigilance: The Future of Drug Safety Automation
Gen AI is transforming pharmacovigilance by automating case processing, improving accuracy, and enabling faster drug safety decisions—shaping the future of patient protection.
Chaitali Gaikwad
May 135 min read


The Benefits of Automated Case Processing in Pharmacovigilance
Automated case processing in pharmacovigilance enhances efficiency, accuracy, and compliance, streamlining the detection, reporting, and management of adverse drug events for faster, safer drug safety practices.
Chaitali Gaikwad
May 123 min read


AI-Powered Case Intake: Faster, More Accurate, and More Efficient
AI-powered case intake streamlines pharmacovigilance by automating data extraction and processing, improving accuracy, reducing manual effort, and accelerating drug safety reporting efficiency.
Chaitali Gaikwad
May 124 min read


The Impact of AI on Global Literature Review in Drug Safety
AI is transforming global literature review in drug safety by enhancing speed, accuracy, and compliance, enabling faster detection of adverse events and safety signals.
Chaitali Gaikwad
May 123 min read
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