Salesforce launches Agentforce 3 with AI agent observability and MCP support
Salesforce launches Agentforce 3 with AI agent observability and native MCP support, giving enterprises real-time visibility and secure interoperability at scale.
venturebeat.com
Salesforce launches Agentforce 3 with AI agent observability and native MCP support, giving enterprises real-time visibility and secure interoperability at scale.
venturebeat.com
Could I Really Automate 80% of My Business With AI? I Decided to Find Out
How I used AI agents to escape busywork, reclaim time and grow my solo businessContinue reading on The Startup »
medium.com
How I used AI agents to escape busywork, reclaim time and grow my solo businessContinue reading on The Startup »
medium.com
Emergence AI’s CRAFT arrives to make it easy for enterprises to automate their entire data pipeline
EXCLUSIVE: New York City based startup Emergence AI, founded by former IBM researchers, previously made headlines for its impressive automated system that allows enterprises to type in a requested task in plain natural language and automatically create a fleet of agents to help complete it. But that’s not all the company has up its sleeve when […]
venturebeat.com
EXCLUSIVE: New York City based startup Emergence AI, founded by former IBM researchers, previously made headlines for its impressive automated system that allows enterprises to type in a requested task in plain natural language and automatically create a fleet of agents to help complete it. But that’s not all the company has up its sleeve when […]
venturebeat.com
How CISOs became the gatekeepers of $309B AI infrastructure spending
Security vendors race to control $309B AI infrastructure market. How AgenticOps, eBPF and silicon-speed security will determine the winners.
venturebeat.com
Security vendors race to control $309B AI infrastructure market. How AgenticOps, eBPF and silicon-speed security will determine the winners.
venturebeat.com
Pipes.ai: Supercharge Sales With AI-Powered Lead Conversion
Managing lead volume is one of the most frustrating challenges for sales organizations. Too often, marketing teams capture web leads that never convert because sales teams can’t follow up quickly enough or waste time chasing bad data. The result? Bloated pipelines, missed revenue, and high agent burnout. There’s a better way to turn intent into …
feed.martech.zone
Managing lead volume is one of the most frustrating challenges for sales organizations. Too often, marketing teams capture web leads that never convert because sales teams can’t follow up quickly enough or waste time chasing bad data. The result? Bloated pipelines, missed revenue, and high agent burnout. There’s a better way to turn intent into …
feed.martech.zone
What’s inside Genspark? A new vibe working approach that ditches rigid workflows for autonomous agents
Genspark's autonomous AI agents prove that less control beats rigid workflows, forcing enterprise AI leaders to rethink how they architect intelligent systems.
venturebeat.com
Genspark's autonomous AI agents prove that less control beats rigid workflows, forcing enterprise AI leaders to rethink how they architect intelligent systems.
venturebeat.com
Enterprises must rethink IAM as AI agents outnumber humans 10 to 1
Identity is the essential control plane for agentic AI security, redefining enterprise defenses amid rising credential-based breaches.
venturebeat.com
Identity is the essential control plane for agentic AI security, redefining enterprise defenses amid rising credential-based breaches.
venturebeat.com
Rubrik acquires Predibase to accelerate adoption of AI agents
Predibase helps companies train and fine-tune open source AI models which will help Rubrik customers deploy AI agents faster.
techcrunch.com
Predibase helps companies train and fine-tune open source AI models which will help Rubrik customers deploy AI agents faster.
techcrunch.com
Why Data is More Valuable than Code
In “Data Rules Everything Around Me,” Matt Slotnick wrote about the difference between SaaS & AI apps.
A typical SaaS app has a workflow layer, a middleware/connectivity layer, & a data layer/database. So does an AI app.
AI makes writing frontends trivial, so in the three-layer cake of workflow software the data matters much more.
The big differences between an AI & the SaaS app lie within the ganache of the middle layer. In SaaS applications, coded business rules determine each step a lead follows from creation to close.
In AI apps, a non-deterministic AI model decides the steps using context : relevant information about the lead that the AI is querying from other sources.
The better the data, the better the workflow.
The context is the most valuable component because it ultimately changes the workflow. Models are relatively similar in performance.
For example, an inbound email comes into a customer support desk, “Was I double charged this month?” An agentic workflow would query the billing system, the contract system, & the email drafting tool to draft an email to the customer with distinct language for that persona. This only works if the enterprises’ data is well structured.
Enterprises will be shy about sharing the context with their vendors because of how much value it provides. They may start to structure it & assign a department to manage it because the better its availability, the more effective the agentic systems will be.
Data architecture may become a competitive advantage & the future battleground for software companies will be the access to that context - & the fight has already begun.
www.tomtunguz.com
In “Data Rules Everything Around Me,” Matt Slotnick wrote about the difference between SaaS & AI apps.
A typical SaaS app has a workflow layer, a middleware/connectivity layer, & a data layer/database. So does an AI app.
AI makes writing frontends trivial, so in the three-layer cake of workflow software the data matters much more.
The big differences between an AI & the SaaS app lie within the ganache of the middle layer. In SaaS applications, coded business rules determine each step a lead follows from creation to close.
In AI apps, a non-deterministic AI model decides the steps using context : relevant information about the lead that the AI is querying from other sources.
The better the data, the better the workflow.
The context is the most valuable component because it ultimately changes the workflow. Models are relatively similar in performance.
For example, an inbound email comes into a customer support desk, “Was I double charged this month?” An agentic workflow would query the billing system, the contract system, & the email drafting tool to draft an email to the customer with distinct language for that persona. This only works if the enterprises’ data is well structured.
Enterprises will be shy about sharing the context with their vendors because of how much value it provides. They may start to structure it & assign a department to manage it because the better its availability, the more effective the agentic systems will be.
Data architecture may become a competitive advantage & the future battleground for software companies will be the access to that context - & the fight has already begun.
www.tomtunguz.com
Why Data is More Valuable than Code
In “Data Rules Everything Around Me,” Matt Slotnick wrote about the difference between SaaS & AI apps.
A typical SaaS app has a workflow layer, a middleware/connectivity layer, & a data layer/database. So does an AI app.
AI makes writing frontends trivial, so in the three-layer cake of workflow software the data matters much more.
The big differences between an AI & the SaaS app lie within the ganache of the middle layer. In SaaS applications, coded business rules determine each step a lead follows from creation to close.
In AI apps, a non-deterministic AI model decides the steps using context : relevant information about the lead that the AI is querying from other sources.
The better the data, the better the workflow.
The context is the most valuable component because it ultimately changes the workflow. Models are relatively similar in performance.
For example, an inbound email comes into a customer support desk, “Was I double charged this month?” An agentic workflow would query the billing system, the contract system, & the email drafting tool to draft an email to the customer with distinct language for that persona. This only works if the enterprises’ data is well structured.
Enterprises will be shy about sharing the context with their vendors because of how much value it provides. They may start to structure it & assign a department to manage it because the better its availability, the more effective the agentic systems will be.
Data architecture may become a competitive advantage & the future battleground for software companies will be the access to that context - & the fight has already begun.
www.tomtunguz.com
In “Data Rules Everything Around Me,” Matt Slotnick wrote about the difference between SaaS & AI apps.
A typical SaaS app has a workflow layer, a middleware/connectivity layer, & a data layer/database. So does an AI app.
AI makes writing frontends trivial, so in the three-layer cake of workflow software the data matters much more.
The big differences between an AI & the SaaS app lie within the ganache of the middle layer. In SaaS applications, coded business rules determine each step a lead follows from creation to close.
In AI apps, a non-deterministic AI model decides the steps using context : relevant information about the lead that the AI is querying from other sources.
The better the data, the better the workflow.
The context is the most valuable component because it ultimately changes the workflow. Models are relatively similar in performance.
For example, an inbound email comes into a customer support desk, “Was I double charged this month?” An agentic workflow would query the billing system, the contract system, & the email drafting tool to draft an email to the customer with distinct language for that persona. This only works if the enterprises’ data is well structured.
Enterprises will be shy about sharing the context with their vendors because of how much value it provides. They may start to structure it & assign a department to manage it because the better its availability, the more effective the agentic systems will be.
Data architecture may become a competitive advantage & the future battleground for software companies will be the access to that context - & the fight has already begun.
www.tomtunguz.com
Creatio’s new 8.3 Twin CRM update hits Salesforce where it hurts: ‘we don’t think of AI as an add-on…it’s just part of our app experience’
Customers can control which documents are persistent for agent grounding and manage access to ensure regulatory compliance.
venturebeat.com
Customers can control which documents are persistent for agent grounding and manage access to ensure regulatory compliance.
venturebeat.com
Boston Consulting Group: To unlock enterprise AI value, start with the data you’ve been ignoring
Companies are looking beyond the experimental phase of AI and exploring ways to productize and scale agents and other applications.
venturebeat.com
Companies are looking beyond the experimental phase of AI and exploring ways to productize and scale agents and other applications.
venturebeat.com
For Replit’s CEO, the future of software is ‘agents all the way down’
Replit's agents can help non-developers design and code an app in a mere 15 minutes, illustrating the disruprtion of vibe coding.
venturebeat.com
Replit's agents can help non-developers design and code an app in a mere 15 minutes, illustrating the disruprtion of vibe coding.
venturebeat.com
New Ecommerce Tools: June 26, 2025
This week's rundown features new tools for video, cross-border payments, agentic commerce, shipping, point-of-sale, live video shopping, ecommerce platforms, reverse logistics, and post-purchase upsells.
The post New Ecommerce Tools: June 26, 2025 appeared first on Practical Ecommerce.
www.practicalecommerce.com
This week's rundown features new tools for video, cross-border payments, agentic commerce, shipping, point-of-sale, live video shopping, ecommerce platforms, reverse logistics, and post-purchase upsells.
The post New Ecommerce Tools: June 26, 2025 appeared first on Practical Ecommerce.
www.practicalecommerce.com
Get paid faster: How Intuit’s new AI agents help businesses get funds up to 5 days faster and save 12 hours a month with autonomous workflows
Looking beyond AI assistants, Intuit has integrated agentic AI deeply into multiple processes to help businesses get things done.
venturebeat.com
Looking beyond AI assistants, Intuit has integrated agentic AI deeply into multiple processes to help businesses get things done.
venturebeat.com
Lessons learned from agentic AI leaders reveal critical deployment strategies for enterprises
What does it take to actually engineer AI agents to get the best return on investment? A panel of experts provides some unique insights.
venturebeat.com
What does it take to actually engineer AI agents to get the best return on investment? A panel of experts provides some unique insights.
venturebeat.com
What enterprise leaders can learn from LinkedIn’s success with AI agents
LinkedIn scientists share how they have found success with their LinkedIn hiring assistant, an AI agent that sources and recruits workers.
venturebeat.com
LinkedIn scientists share how they have found success with their LinkedIn hiring assistant, an AI agent that sources and recruits workers.
venturebeat.com
The hidden scaling cliff that’s about to break your agent rollouts
Enterprise teams hit a scaling wall when managing AI agents across departments. Writer's May Habib explains why traditional software development fails for agents and what Fortune 500 companies are doing instead.
venturebeat.com
Enterprise teams hit a scaling wall when managing AI agents across departments. Writer's May Habib explains why traditional software development fails for agents and what Fortune 500 companies are doing instead.
venturebeat.com
Brij Raises $8M to Bridge Offline-to-Online Customer Relationships with AI
When brands sell through retail, they lose the relationship with their end customer—it's a trillion-dollar disconnect according to Brij CEO Kait Stephens. The Harvard Business School graduate just closed an oversubscribed $8M seed round for her agentic AI platform that's already powering data capture for 150+ brands including Mr. Beast's Feastables and David Chang's Momofuku. With results showing up to $150 revenue per profile and 10x higher conversion rates, discover how this former retail investor is solving one of commerce's biggest challenges.
www.alleywatch.com
When brands sell through retail, they lose the relationship with their end customer—it's a trillion-dollar disconnect according to Brij CEO Kait Stephens. The Harvard Business School graduate just closed an oversubscribed $8M seed round for her agentic AI platform that's already powering data capture for 150+ brands including Mr. Beast's Feastables and David Chang's Momofuku. With results showing up to $150 revenue per profile and 10x higher conversion rates, discover how this former retail investor is solving one of commerce's biggest challenges.
www.alleywatch.com
4 Ways Agentic AI Can Help Nonprofits Focus on Their Mission
Here are four ways agentic AI can help nonprofits trade in spreadsheets and bottlenecks for a greater capacity to focus on what matters most.
www.nonprofitpro.com
Here are four ways agentic AI can help nonprofits trade in spreadsheets and bottlenecks for a greater capacity to focus on what matters most.
www.nonprofitpro.com
UK’s Gradient Labs claims to have solved AI customer service for finance; will pay $10K if your provider beats them
London-based Gradient Labs, a startup building an autonomous AI agent aiming to resolve up to 80% of customer queries, announced a bold new initiative — a $10,000 challenge. “We’re offering $10,000 to any company that tests us side-by-side with ANY other customer support automation solution – and we lose,” says Dimitri Masin, founder of Gradient ... Read more
siliconcanals.com
London-based Gradient Labs, a startup building an autonomous AI agent aiming to resolve up to 80% of customer queries, announced a bold new initiative — a $10,000 challenge. “We’re offering $10,000 to any company that tests us side-by-side with ANY other customer support automation solution – and we lose,” says Dimitri Masin, founder of Gradient ... Read more
siliconcanals.com