Vivian Kim

8 AI Predictions That Will Reshape 2026 Read More »

The AI landscape is evolving faster than most enterprises can adapt. We asked our leadership team for their predictions on where AI is heading in 2026. Here’s what they had to say. 1. Multimedia Creation Will Flawlessly Mimic Real Artists and People Video, music, and image generation will take another massive leap forward in 2026.

AI, Actually – Episode 10: Gemini 3 Deep Dive and Bold Predictions for 2026

AI, Actually – Episode 10: Gemini 3 Deep Dive and Bold Predictions for 2026 Read More »

Welcome to Episode 10 of AI, Actually! This week features Pete Reilly as host, joined by our technical dream team: Andy Sweet, Shanti Greene, and Stew Chisam. Fresh off Gemini 3’s launch, the team goes deep on what’s actually different, how it stacks up against GPT-5.1 and Claude, and why Google’s play is about ecosystems,

What It Really Takes to Get an AI Agent Up and Running

What It Really Takes to Get an AI Agent Up and Running Read More »

The conversation around AI agents has reached a fever pitch. Every enterprise leader we talk to wants to know: How do we actually do this? How do we move from proof-of-concept demos to agents that get real work done? We recently sat down with our AI Business Transformation team: Nicole Kosky, who leads the practice,

AI, Actually – Episode 9: What’s Actually Working in Enterprise AI: Business Value, Success Predictors, and Agent Ops

AI, Actually – Episode 9: What’s Actually Working in Enterprise AI: Business Value, Success Predictors, and Agent Ops Read More »

Welcome to Episode 9 of AI, Actually! This week features Jim Johnson as host, joined by three voices from the front lines of AI implementation: Joey Gaspierik (Sales Director who meets with clients daily), Shanti Greene (Senior Data Scientist with deep technical expertise), and Nicole Kosky (leader of our AI Business Transformation practice). This episode

Beyond the Hype: 5 Key Insights from OpenAI’s Dev Day

Beyond the Hype: 5 Key Insights from OpenAI’s Dev Day Read More »

OpenAI’s recent Dev Day made waves with the announcement of Apps SDK and AgentKit, tools designed to make building AI agents more accessible than ever. But beyond the flashy demos and 800 million daily users milestone, what does this really mean for enterprise leaders navigating the AI landscape? Our team weighed in on the latest

AI, Actually – Episode 8: The Decade of the Agent, Enterprise AI Reality, and Why Waiting Will Cost You

AI, Actually – Episode 8: The Decade of the Agent, Enterprise AI Reality, and Why Waiting Will Cost You Read More »

Welcome to Episode 8 of AI, Actually! This week features Pete Reilly as host, joined by Alon Goren (founder and CEO), Jim Johnson (who leads our services organization), and Mike Finley (our guide through the LLM landscape). The team tackles one of the hottest debates in enterprise AI: is 2025 really the “year of the

AI, Actually – Episode 7: OpenAI Dev Day Reactions and What It Takes to Get Agents in Production

AI, Actually – Episode 7: OpenAI Dev Day Reactions and What It Takes to Get Agents in Production Read More »

Welcome to Episode 7 of AI, Actually! This week features Jim Johnson stepping in as host (while Pete enjoys 30A), joined by Mike Finley, and two special guests from our AI Business Transformation team: Nicole Kosky, who leads the practice, and Reilly Carroll, Senior AI Solutions Consultant. Fresh off client meetings in Europe, Jim brings

AI, Actually – Episode 6: Breaking Down Nate B. Jones’ 6 Engineering Principles for AI Agents

AI, Actually – Episode 6: Breaking Down Nate B. Jones’ 6 Engineering Principles for AI Agents Read More »

Welcome to Episode 6 of AI, Actually! This week features Pete Reilly as moderator, joined by Mike Finley, Andy Sweet, and Stew for a deep dive into the engineering principles that separate successful AI implementations from failed proofs of concept. This episode unpacks six critical engineering principles from AI thought leader Nate B. Jones, translating

AI, Actually – Episode 5: The $10T AI Opportunity, Forward Deployed Engineers, Year of the Agent Check-In, and Replit Agent 3

AI, Actually – Episode 5: The $10T AI Opportunity, Forward Deployed Engineers, Year of the Agent Check-In, and Replit Agent 3 Read More »

Welcome to Episode 5 of AI, Actually. This week features Pete Reilly as our moderator, joined by Alon Goren (CEO and co-founder), Shanti Greene (Head of Data Science and AI Innovation at AnswerRocket), and Stew Chisam (Operating Partner at StellarIQ). This episode tackles three major themes shaping enterprise AI today. First, we dive into Sequoia’s

AI, Actually – Episode 4: Kimi, Shadow AI, Machine Learning vs. LLMs, Prompt vs. Context Engineering and Local Models

AI, Actually – Episode 4: Kimi, Shadow AI, Machine Learning vs. LLMs, Prompt vs. Context Engineering and Local Models Read More »

Welcome to Episode 4 of AI, Actually! This week brings a fresh lineup with Jim Johnson stepping into the moderator role, joined by Mike Finley, Andy Sweet (leader of AnswerRocket’s advanced models practice), and Shanti Greene (senior data scientist and our resident “mad scientist running more models locally than OpenAI”). This episode dives deep into

Western Specialty Contractors Announces Partnership with AI Solutions Company AnswerRocket to Improve Bidding Outcomes

Western Specialty Contractors Announces Partnership with AI Solutions Company AnswerRocket to Improve Bidding Outcomes Read More »

ST. LOUIS, MO (Sept. 16, 2025) – In construction, an accurate bid can mean the difference between a profitable year or continuous delays and costly overruns. Many contractors continue to rely on spreadsheets, fragmented data, or gut instinct to prepare bids. This leaves too much room for errors. Bidding in construction is complicated by inflated

AI, Actually – Episode 3: AI Pilot Failures, Agent Disruption, and the AI Talent War

AI, Actually – Episode 3: AI Pilot Failures, Agent Disruption, and the AI Talent War Read More »

Welcome to Episode 3 of AI, Actually! This week, we’re joined by Alon Goren, our CEO and co-founder who’s been leading AnswerRocket since 2013. Together with Pete Reilly, Mike Finley, and Jim Johnson, we dive deep into three critical topics shaping the AI landscape right now. First, we tackle the infamous MIT study claiming a

AI, Actually – Episode 2: Why 95% of AI Pilots Fail, Building Effective Agents, Computer Use, and MCP

AI, Actually – Episode 2: Why 95% of AI Pilots Fail, Building Effective Agents, Computer Use, and MCP Read More »

MIT just dropped a bombshell study revealing that 95% of enterprise AI pilots are failing to achieve revenue acceleration. But here’s the twist – it’s not because the technology is broken. In this episode of AI, Actually, we dig deep into why companies are struggling with AI implementation and what separates the successful 5% from

GPT-5 First Impressions: Smarter, Faster, and Part of a Bigger Picture

GPT-5 First Impressions: Smarter, Faster, and Part of a Bigger Picture Read More »

OpenAI has pitched GPT-5 as its most capable model yet: a faster, more versatile system with a 400,000-token context window, the ability to route tasks across a family of models, and pricing that aggressively undercuts rivals at about $1.25 per million input tokens. The claims are bold. But for business leaders evaluating whether GPT-5 should

AI, Actually – Episode 1: Vibe Coding, Enterprise AI Struggles, and First Impressions of GPT-5

AI, Actually – Episode 1: Vibe Coding, Enterprise AI Struggles, and First Impressions of GPT-5 Read More »

Welcome to our first episode of AI, Actually! We’re kicking things off with a deep dive into three of the hottest topics in the tech world right now. First, we explore “vibe coding,” a term coined by OpenAI’s Andrej Karpathy for letting the creative flow guide your programming with the help of AI. Is it

Intelligent Retail: How Agentic AI Transforms Shopping Experiences

Intelligent Retail: How Agentic AI Transforms Shopping Experiences Read More »

AI in retail has reached a tipping point. Total Retail’s 2024 survey found that 61% of retailers currently use some form of AI within their businesses, while 76% plan to increase their technology budgets in the next 12 months. AI-powered personalization helps increase customer satisfaction and conversion rates, while optimized AI search boosts conversion rates.

Beating The Bitter Lesson: How to Capture Business Value Through Every AI Wave

Beating The Bitter Lesson: How to Capture Business Value Through Every AI Wave Read More »

What is the Bitter Lesson? Your team is six months deep into building a custom AI solution. Next week, a new foundation model makes it obsolete with a simple prompt. Welcome to the Bitter Lesson. The “Bitter Lesson” was articulated by AI researcher Rich Sutton in an influential 2019 essay reflecting on 70 years of

Statistical Analysis vs. Machine Learning vs. Deep Learning: What’s the Difference?