What does Trust Insights know about Artificial Intelligence? A lot, actually. We’ve been in the space for 10+ years. Have a look and a listen to a sample of our Artificial Intelligence experience and expertise:
Podcasts
- {PODCAST} In-Ear Insights: Exploring the AI/ML Lifecycle
- In-Ear Insights: AI Will Take Your Job
- In-Ear Insights: Will AI Make Us Lazy and Stupid?
- {PODCAST} In-Ear Insights: Advances in AI Natural Language Generation and Marketing Implications
- In-Ear Insights: What is Generative AI?
- {PODCAST} In-Ear Insights: Math Skills for Marketing Analytics
- {PODCAST} In-Ear Insights: Should AI Adopt a Clinical Trials Process?
- In-Ear Insights: What Is A Large Language Model?
- In-Ear Insights: Practical Use Cases of ChatGPT
- {PODCAST} In-Ear Insights: Artificial Intelligence and Corporate Culture
- {PODCAST} In-Ear Insights: Avoiding Data-Driven Marketing Traps
- {PODCAST} In-Ear Insights: Why Consumer Recommendation Engines Fail
- {PODCAST} In-Ear Insights: Transparency in Research and Data
- {PODCAST} In-Ear Insights: Human-Centric Data Strategy
- {PODCAST} In-Ear Insights: Consumer Data Detectives
- {PODCAST} In-Ear Insights: Unwritten Rules of Community Management
- {PODCAST} In-Ear Insights: SEO and Customer Retention
- {PODCAST} In-Ear Insights: Should You Be a Data Scientist?
Newsletter
- Almost Timely News, July 2, 2023: Getting Started With Generative AI 101
- Almost Timely News, April 2, 2023: How to Improve Your AI Prompts
- Almost Timely News, April 23, 2023: The Dawn of Autonomous AI
- Almost Timely News, April 9, 2023: What’s Coming With Generative AI
- Almost Timely News: How Large Language Models Are Changing Everything
- Almost Timely News, May 7, 2023: The Next Wave of Generative AI
- Almost Timely News, March 5, 2023: ChatGPT Levels Up With an API
- Almost Timely News, February 26, 2023: Improve ChatGPT Performance By Understanding How It Works
- INBOX INSIGHTS, April 27, 2022: Will AI Take Your Job, Brand Awareness, NPS Scoring
- Almost Timely News, June 6, 2023: Content Marketing Is In Trouble
- Almost Timely News, May 14, 2023: Resistance to AI
- Almost Timely News, May 28, 2023: Can AI Truly Be Creative?
- Almost Timely News, May 21, 2023: Hot Takes on AI Congressional Hearing
- Almost Timely News, February 19, 2023: The Buyer’s Guide to Expertise
- Almost Timely News: The Future of AI and Regular Life (2022-10-23)
- Almost Timely News, March 26, 2023: What Could Go Wrong With AI?
- Almost Timely News: Practical Use Case and Examples of Generative AI
- Almost Timely News, 4 September 2022: Understanding the Implications of Stable Diffusion
- Almost Timely News: The Importance of Open Source in AI
- Almost Timely News, June 25, 2023: When Should You Use Generative AI?
- Almost Timely News, 7 August 2022: The SEA Change in Marketing
- Almost Timely News, 8 May 2022: AI and Inequality, Epic Content Marketing
- INBOX INSIGHTS September 21, 2022: AI for Content Creation, Social Media Engagement
- INBOX INSIGHTS, April 12, 2023: All About Generative AI
- INBOX INSIGHTS, March 23, 2022: Google Analytics 4, Fortune 1000 Marketing Technology
Livestreams
- So What? Q2 2023 Generative AI Bake-off
- So What? What’s next in generative AI?
- So What? Integrating AI into your company
- So What? Top News and Web Stories
- So What? The AI Maturity Model
- So What? Business Process Re-engineering
- So What? Podcast advertising best practices
- So What? How to do prompt engineering
- So What? Using Google Data Studio with Google Analytics 4 data
- So What? Generative AI tools bakeoff
- So What? Tools for competitive intelligence
- So What? Discord 101
- So What? Platform Review – Amazon AMP
- So What? UTM Governance in GA4
- So What? Email Marketing
- So What? How to process unstructured survey data
- So What? Setting up A/B tests for ChatGPT
- So What? Understanding the LinkedIn Algorithm for Engagement
- So What? Your website accessibility
- So What? Fine-tuning large language models (LLM)
- So What? It’s our birthday – 5 years of Trust Insights
Talks
- 5 Practical Applications of AI For Marketing Technology
- How AI Will Change The Future of Content Marketing
- AI and the Future of Healthcare Keynote
- Cognitive Marketing: How AI is Changing Marketing Forever
- Power Up Your LinkedIn Profile & Job Hunting Efforts
- The Marketing Singularity: Large Language Models and the End of Marketing As You Knew It
- How AI is Changing Marketing Keynote
- Exploratory Data Analysis: The Missing Ingredient for AI at Heapcon 2022
You Ask, I Answer
- You Ask, I Answer: How to Make AI More Energy Efficient?
- You Ask, I Answer: Detection of AI Content?
- You Ask, I Answer: Impact of AI on Content Marketing?
- You Ask, I Answer: Siloed Data Impact on AI?
- You Ask, I Answer: Reducing Bias in Datasets
- You Ask, I Answer: Keeping Data Confidential with ChatGPT?
- You Ask, I Answer: ChatGPT Predictions?
- You Ask, I Answer: Is AI Killing Art?
- You Ask, I Answer: AI and Marketing for New Marketers?
- You Ask, I Answer: What Excites You About Marketing AI?
- You Ask, I Answer: Generative AI Hallucinations?
- You Ask, I Answer: Starting AI Tools for Content Marketers?
- You Ask, I Answer: Sales Roles Impacted by ChatGPT?
- You Ask, I Answer: How to Regulate Generative AI?
- You Ask, I Answer: Large Language Model Capability Limits?
- You Ask, I Answer: Evolution of AI in Business Processes?
- You Ask, I Answer: Marketing Revolutionized by AI?
- You Ask, I Answer: Proving Algorithmic Understanding?
- You Ask, I Answer: What Does ChatGPT Learn?
- You Ask, I Answer: The Impact of AI on SEO?
- You Ask, I Answer: AI Writing Tools?
- You Ask, I Answer: Making a Case for AI in Marketing?
- You Ask, I Answer: Creating Content for Search Engines?
- You Ask, I Answer: Understanding BERT’s Role in SEO?
- You Ask, I Answer: Staying Ahead in AI and MarTech?
- You Ask, I Answer: Twitter Bot Detection Algorithms?
- You Ask, I Answer: AI, Data Science, and What To Study in College?
- You Ask, I Answer: Differences Between Large Language Models?
- You Ask, I Answer: Jobs Lost to AI?
- You Ask, I Answer: Company Claims of AI Generated Content?
- You Ask, I Answer: Future of SEO and ChatGPT Impact?
- You Ask, I Answer: Value of Content Marketing in an AI World?
- You Ask, I Answer: Why is ChatGPT All The Rage?
- You Ask, I Answer: Impact of AI on Content Marketing?
- You Ask, I Answer: Will AI Become Self-Aware?
- You Ask, I Answer: Difference Between Fair and Unfair Bias?
- You Ask, I Answer: Third Party Data and Model Audits?
- You Ask, I Answer: Can AI Write as Well as a Human?
- You Ask, I Answer: Biggest Misconception about Marketing AI?
- You Ask, I Answer: Over-Reliance on AI?
- You Ask, I Answer: What About New AI Experts?
- You Ask, I Answer: ChatGPT Responses and Language?
- You Ask, I Answer: Vetting Marketing AI Vendors for Bias?
- You Ask, I Answer: The Future of Content Marketing?
- You Ask, I Answer: Why do Recommendation Engines Fail?
- You Ask, I Answer: AI in Account-Based Marketing?
- You Ask, I Answer: Can AI Solve Word Problems?
- You Ask, I Answer: Ethical Use of AI in Marketing?
- You Ask, I Answer: Model and Algorithm Selection?
- You Ask, I Answer: Challenges Preventing AI in Marketing?
- You Ask, I Answer: Which Technologies Will Thrive During a Pandemic?
- You Ask, I Answer: How Do You Keep Up With AI?
- You Ask, I Answer: Multilingual Outputs in ChatGPT?
- You Ask, I Answer: Misinformation Risks with ChatGPT?
- You Ask, I Answer: Regulation of Marketing AI?
- You Ask, I Answer: Critical Thinking in School Curricula?
- You Ask, I Answer: Content Intent Measurement?
- You Ask, I Answer: Data Trends for Marketers?
- You Ask, I Answer: Data Democratization and AI?
- You Ask, I Answer: Thoughts on Twitter?
- You Ask, I Answer: How to Evaluate AI Solutions?
- You Ask, I Answer: Podcast Marketing OGs?
- You Ask, I Answer: Predictive Analytics in Google Analytics 4?
- You Ask, I Answer: Opportunities and Hurdles for Leaders?
- You Ask, I Answer: Machine Learning vs. AI?
- You Ask, I Answer: Liability for Marketing AI Models?
- You Ask, I Answer: GA4 Impact on Attribution Analysis?
- You Ask, I Answer: Marketing Consumer Data and Privacy?
- You Ask, I Answer: Marketing Data Science for Traditional Sales?
- You Ask, I Answer: Unifying Marketing Data?
- You Ask, I Answer: Primary Research vs. Secondary Data?
- You Ask, I Answer: Finding Qualified Candidates?
- You Ask, I Answer: Advice for Struggling Leaders?
- You Ask, I Answer: Third Party Data and Trustworthiness?
- You Ask, I Answer: The Future of Marketing Data Science?
- You Ask, I Answer: Email Marketing Unsubscribes?
- You Ask, I Answer: Predictive Analytics for Content Marketing?
Opinion Pieces
- Mind Readings: The Real Danger to the News Industry Isn’t AI
- Mind Readings: AI Shortens The Distance from Idea to Reality
- Mind Readings: How Do We Know Content Is Made By A Human?
- Mind Readings: AI Bill of Rights, Part 3: Data Privacy
- Mind Readings: AI Bill of Rights, Part 1: Safe and Effective Systems
- Mind Readings: AI Bill of Rights, Part 5: Human Alternatives, Consideration, and Fallback
- Mind Readings: When to Use Generative AI in Writing
- Mind Readings: AI, Morals, and Safe Usage
- Mind Readings: The Future of AI Models
- Mind Readings: Adobe Podcast Review
- Mind Readings: The WGA Strike and Artificial Intelligence
- Mind Readings: Build DEI into AI From The Start
- Mind Readings: 6 Month AI Pause?
- Mind Readings: No Excuses for Lack of Diversity in Content
- Mind Readings: Effective Writing Techniques for Marketing
- Mind Readings: Why You Need a Generative AI Prompt Library
- Mind Readings: Voluntary Content Grades and AI
- Mind Readings: AI Bill of Rights, Part 2: Algorithmic Discrimination Protections
- Mind Readings: AI Enables Creative by Proxy
- Mind Readings: Automation is not AI
- Mind Readings: The Danger of Old Text in Generative AI
- Mind Readings: What Exactly is a Brand Voice?
- Mind Readings: Stay In Your Lane
- Mind Readings: How Should Educators Think About Generative AI?
- Mind Readings: Large Language Model Censorship Reduces Performance
- Mind Readings: Large Language Model Bakeoff: Google Bard, Microsoft Bing + GPT-4, ChatGPT + GPT-4
- Mind Readings: AI Bill of Rights, Part 4: Notice and Explanation
Other
- Guest Appearance on Digging Deeper With Jason Falls
- TrustInsights.ai Announces 400% Workforce Expansion with Cutting-Edge AI Employees
- Instant Insights: The AI/Machine Learning Lifecycle
- IBM THINK 2020 Digital Experience: Day 2 Review
- Mailbag Monday: Where would you recommend getting started for learning better prompt generation?
- Are your AI choices harmful to your business?
- How can AI improve VOC? Part 3: 11 Components of VOC
- AI for Marketers, Third Edition, Available Now!
- Marketing AI: Interpretability and Explainability
- GRAMMY Debates with IBM Watson
- Understanding How Google Works for SEO
- How can AI improve VOC? Part 4: Conclusion
- Mailbag Monday: Different people, same ChatGPT content?
- Using AI for content creation
- Do I Need AI? The Question Every Marketer Should Be Asking.
- Stop Using Artificial Intelligence For Human Intelligence Problems
- Why AI Will Not Create Great Content Any Time Soon
- One Step Closer to the Marketing Singularity
- Powering Modern SEO with Social Media Data
- Marketing Data Science Archives
- Will AI make us lazy?
- Transforming People, Process, and Technology
- How can AI improve VOC? Part 1: Introduction
- 2022 Rewind: Making Sense of Seasonality and Predictive Analytics
- AI and Copyright Law: How Copyright Applies to AI-Generated Content
- Experience TV Episode: AI and Marketers
- Unsupervised Learning and SEO/SEM
- 2020 Rewind: Artificial Intelligence in Sales
- How to know if AI will take your job
- Is AI Moving Too Fast?
- 2020 Rewind: AI Applications in Healthcare Marketing
- Launching a podcast – podcast marketing strategy
- Mailbag Monday: Risks of ChatGPT Insights?
- How Much Data Do You Need For Data Science and AI?
- Why You Need to Understand Marketing Machine Learning Models
- 2020 Rewind: AI and SEO Applications
- How can AI improve VOC? Part 2: 5 AI Techniques
- Natural Language Processing and Content Marketing: An AMA with Trust Insights and MarketMuse
- IBM THINK 2020 Digital Experience: Day 1 Review
- Mailbag Monday: What are your top 3 AI tools?
- Let’s talk about ChatGPT’s new API
- Data Trends for Marketers
- Advanced Analytics and Reporting Services
- In the Headlights, November 18, 2020: Best Time to Post, 2021 Trends, AirBnB Pandemic Data
- The Return of Inbound Marketing Strategy
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Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.
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