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The Great Spending Showdown: AI vs SaaS in 2025/2026 — What Every B2B Leader Needs to Know We’re witnessing the most dramatic shift in enterprise tech spending since the cloud migration began 15 years ago. The numbers are staggering: AI spending is set to hit $644 billion in 2025, growing at a mind-bending 76.4% year-over-year.
In the fast-paced hiring landscape of 2025, an Applicant Tracking System (ATS) has become an essential tool for companies of all sizes and sectors. Importantly, ATS platforms have evolved with AI-driven features , diversity and bias reduction tools , and deep analytics to meet todays hiring challenges.
New hires can be onboarded faster by accessing company policies, procedures, and how-to guides in one place, and existing team members can easily find information to do their jobs more efficiently. Sales Enablement Knowledge Base: Equip your sales and customer success teams with a knowledge base of product info, playbooks, and FAQs.
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A person who has 5+ years of experience managing mobile products, ideally in AI-powered or field service solutions. A professional with a strong grasp of app performance, security, compliance, and platform guidelines. A job seeker who is unfamiliar with AI/ML applications in operational settings.
How Yext evolved from managing listings to powering AI-ready data pipelines. Actionable steps SaaS companies can take to optimize for AI agents and search diversification. 14:30 The new battleground: how AI engines like ChatGPT shape discoverability. Thats where TriNet comes in. Quick bio for the listeners. [00:02:00]
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The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Sean Whiteley is a three-time founder and the current CEO of Qualified, the AI pipeline automation platform purpose-built for inbound GTM teams. Navigating payroll, benefits, and compliance shouldnt slow you down. Thats where TriNet comes in.
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In this AI moment we’re in, there are still many moments in scaling a company where intuition still matters. Hiring for Customer Success When Braze was looking for their first customer success hires, you couldn’t find a CSM with seven years of experience in software because those people didn’t exist yet. This isn’t new.
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Let’s explore each of these data analytics trends to understand how they can be leveraged in your company: Smarter analytics with artificial intelligence : AI enhances data analytics by making processes faster, more scalable, and cost-effective, enabling better user behavior prediction and product optimization.
Keep the following elements in mind to help narrow your search: Number of Employees. This includes things like labor cost management, employee retention, fatigue management, compliance, and more. The Pro version is designed for high compliance industries like corrections, oil and gas, and petrochemical.
We needed to stay relevant along the customer’s journey and we needed to find our own cloud provider that was going to allow for us to scale quickly, to have the security that we knew customers were demanding when they were searching for cloud platforms.
When building a company 5 years ago, the sales motion and who’s going to be the user/buyer/champion for a potential deal was pretty clear to the founding team. Then, a demo would be scheduled, followed by a POC, a yes/no, price quote, signing an agreement, post-sale -the whole nine yards. freemium usage?
For example, you can leverage Artificial Intelligence (AI), machine learning algorithms, and predictive analytics to improve decision-making, efficiency, and user experience for both service providers and customers. One of the main benefits of AI in FSM is its ability to compile and analyze substantial amounts of data accurately and quickly.
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AI/ML success in focused applications. To me, AI/ML is very much the former; powerful stuff to build into now-smart applications that were formerly only automation. AI in a public market context or Symphony.AI AI in a public market context or Symphony.AI Will there still be 12-legged sales calls? It’s going well.
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They also had no sales playbook for 5 years, then had a $500M exit. Martin himself wasnt the obvious choice for a sales leadership role. Instead of a policy, the founder offered him something unexpected: a job building out Levelsets sales motion from scratch. For the first five years, the company lacked a formal sales playbook.
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