Josiah Johnson

GPT Pro Tip: generate clean tables for exporting to PDFs by adding "use markdown table format" to any prompt. Define any table columns or headers in the prompt. iDialogue #GenerativeAI for Salesforce

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My column in MarTech published yesterday. The predictions are grounded in years of C-suite interviews and associated data. Like all predictions, even if they’re directionally correct they may take longer to manifest. That said, it is clear that we have reached a point of crisis in B2B GTM. The definition of “crisis” is a moment from which things can get better or very much worse. That applies here. None of us like moments of crisis. They represent fundamental instability, and the threat of unwelcome change. However, with the right responses, crises are also huge opportunities. I believe that we stand on the threshold of a golden era in GTM, but we all have to choose to do what’s necessary to realize it. What’s on the table from the CEOs and CFOs I spoke to is a demand for a common rule book on navigating, forecasting, optimizing, and correcting GTM spend and operations. Without this, the present dysfunctions will only deepen. The executives I interviewed said a number of things very clearly and consistently. A big takeaway was the dissolution of confidence and trust in their Marketing and Sales functions. The question of “who’s right, and who’s wrong” will need attention, but the main objective is repairing one of the most important relationships in business today.

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Highlights of 3 Core Concepts in Intelligent Simple Private AI via Databricks.com 1.32 minute Video News Story below  plus both Video and Audio News Story available on ChannelPartner.TV the largest video AI news network with more than 2,500+ videos. AI NEWS - "This is a critical time for AI companies to show their value and the AIQ Award is a great opportunity to do that." Craig Booth “This a great way for AI companies to show how good their AI really is.” D.C  Submissions for AI User Forum AIQ Award Submissions is now open. There is  no deadline as awards are given for excellence not based on time. This is a great way to get an expert view of your solution and a free video along with Linkedin promotion - more here https://lnkd.in/gE6dCHAj AI NEWS - AI users in Colorado, don’t buy AI until you know the seller/reseller is in compliance with Colorado Law - get guidance to help you comply and avoid a business disaster - https://lnkd.in/g-QAkj3y #AI #AInews #CX #CEO #CRO #CMO #CCO

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Wondering 🤔 about AI Agents? Vendors like Salesforce, HubSpot, and Zeta are launching AI agents to enhance efficiency, customer satisfaction, and overall business performance Three Key Points from article: 1 Agents are purposeful — Copilots and chatbots are freeform, in that the user can ask anything it can think of to the LLM. even if it is beyond the capabilities of the LLM and no action can be taken. By contrast, an agent can be given a specific workflow or set of tools it can use to complete an activity. This level of process specificity is measurable against existing or aspirational business KPIs. 2 Agents can be created and managed by non-developers — Using no-code or low-code tooling along with basic prompts, agents can be developed rather easily for internal uses. 3 Agents provide AI with better working context — There are a number of concerns about AI solutions providing overly general—or outright bogus—answers. But by predefining the LLM prompts within the logic of the agent and leveraging well-defined services and data, an agent can deliver more precise and contextual responses than public AI chatbots. https://lnkd.in/eZNd3Vnj #AI #ArtificialIntelligence #AIagents #ROI #TechInnovation #BusinessGrowth #ForbesTech #DigitalTransformation

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🌐🎯💡🚀**Transforming Cloud Data Management: MarketFit Sales Partners Collaborates with Seemore Data for Cost Optimization** 💡In a strategic collaboration that promises to revolutionize cloud data management and cost optimization, MarketFit Sales Partners has joined forces with Seemore Data to launch a partner program aimed at helping Snowflake clients mitigate costly spikes in cloud data expenses. With a focus on enhancing cloud data cost observability and driving efficiency in data management strategies, this partnership marks a significant milestone in the realm of cloud technology and data analytics. As the head of the partner program, MarketFit Sales Partners invites potential partners to join Seemore Data's initiative and play a pivotal role in empowering Snowflake clients to optimize their cloud data operations and maximize cost savings. This analytical article explores the implications of this collaboration, the benefits of cloud data cost observability, and the opportunities for partners to contribute to transforming cloud data management practices for enhanced efficiency and performance. 💡### The Strategic Collaboration: MarketFit Sales Partners and Seemore Data 🎯 1. **Empowering Snowflake Clients:** The collaboration between MarketFit Sales Partners and Seemore Data aims to empower Snowflake clients with cutting-edge solutions for cloud data management, cost optimization, and performance enhancement. By leveraging advanced analytics and data observability tools, the partnership seeks to address the challenges of costly spikes in cloud data expenses and drive efficiency in data operations. 🎯 2. **Head of Partner Program:** With the announcement of heading up the partner program for Seemore Data, MarketFit Sales Partners underscores its commitment to driving partner engagement, fostering collaboration, and enhancing the visibility and impact of the partner ecosystem in delivering value-added solutions to Snowflake clients. 💡### Cloud Data Cost Observability: Transforming Data Management Strategies 🎯 1. **Cost Optimization for Snowflake Clients:** The partner program spearheaded by MarketFit Sales Partners in collaboration with Seemore Data focuses on providing Snowflake clients with tools and resources for optimizing cloud data costs, monitoring usage patterns, and identifying opportunities for cost savings through enhanced observability and analytics. 🎯 2. **Efficiency and Performance Enhancement:** 💡### Partner Opportunities: Joining the See more Data Partner Program 🎯 1. **Contributing to Cost Optimization:** 🎯 2. **Driving Innovation and Transformation:** 💡### Transforming Cloud Data Management Through Collaboration **#CloudDataManagement #CostOptimization #DataObservability #PartnerProgram #Collaboration #Innovation #Efficiency #SnowflakeClients #MarketFitSalesPartners #SeemoreData**

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Our AI Marketing teams have launched a new ebook, The ROI of Gen AI. This ebook benchmarks the impact of Gen AI on business and financial performance, based on a global survey of 2,500 senior leaders at enterprises ($10M+ annual revenue). The data reveals several trends in enterprise adoption and outcomes that organizations are seeing as a result of having gen AI in production. Some key insights they found:  - 3 in 4 organizations are currently seeing ROI from their gen AI investments - 86% of organizations that report increased revenue estimate a 6%+ boost from gen AI - 84% of organizations successfully transform a gen AI use case idea into production within six months. Get the report below! https://lnkd.in/eZJdHirv

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Multimodal AI transforms the future of customer engagement the way multichannel CRM unified all communication channels in the early days of Siebel (octopus slide anyone?). OpenAI and Google's announcements of production ready multimodal models means AI can engage customers the way we humans do ... by carefully seeing AND listening to their every signal simultaneously. Time to think about multidimensional customer service again. Here's a great list of multimodel use cases every company should consider from Dr Lisa AI across every industry. https://lnkd.in/gU7Raevh

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Gartner's scoring of MMM is worth reading in detail. You can get a full copy here: https://lnkd.in/gG9Wz5a8 Look for the tension in the large established players as they introduce self service models. "Self-Service Mix Model: This scenario supports organizations that want more granular control over model specifications. It prioritizes data scientist adoption enablement, complex marketing analytics, and model latency." I think they are glazing over the fundamental benefit of Self Service which is the democratization of the creation, management and interpretation of the model. When that is the direction of self service, then there are serious repercussions to the service fees and staffing models of full service offerings.

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Mastering Machine Learning Deployment: Insights from Eric Siegel’s “The AI Playbook” #mustreads In the AI era, making fast, effective data-driven decisions is critical for maintaining a competitive edge. Eric Siegel *The AI Playbook: Mastering the Rare Art of Machine Learning Deployment* provides a comprehensive guide to overcoming the common challenges in this process. I first encountered Siegel’s insights on the DisrupTV show with Vala Afshar and R "Ray" Wang Their discussion highlighted the practical aspects of machine learning deployment, making it clear why this book is essential for anyone in the field. Thanks, Vala and Ray, for bringing such valuable conversations to light. Key Takeaways from The AI Playbook: - Clear Outcomes- Define your business objectives clearly. Clarity is crucial for any ML project. - Empathy to Overcome Barriers- Understanding and addressing resistance to change is vital. Spend time with different teams to identify pain points. - Data Preparation- Ensure a robust and adaptable data infrastructure. Improving data quality often yields the greatest benefits. - Effective Deployment- Achieving organizational buy-in is essential. Overcome resistance and integrate smoothly into existing processes. - BizML Paradigm- Follow Siegel’s six-step approach for successful ML deployment. This includes setting goals, defining predictions, evaluating metrics, preparing data, training models, and deploying them. Siegel’s approach emphasizes the importance of collaboration between business and data professionals to ensure that machine learning projects are successful. By following these steps, organizations can unlock the true potential of their data and AI initiatives. If you're interested in learning more about how to deploy machine learning models effectively, I highly recommend reading *The AI Playbook*. Share your thoughts or experiences with ML deployment in the comments below. Let’s continue the conversation on making AI work. At Persistent Systems, with over 30 years in data and AI, we lead this transformation. Our Persistent iAURA offers AI-powered data insights, seamless data migration, DevOps for ML & AI, and robust data platforms, fast-tracking your journey to an AI-driven enterprise. Our Partnerships: Collaborating with Snowflake and Databricks we showcase our AI-driven solutions at their Summits. iAURA allows you to interact with data in natural language, uncover hidden patterns, and ensure data quality. Persistent.AI Advantage: Rich Data Legacy: Over 30 years of enterprise experience. Digital Engineering Leadership: Extending software engineering expertise into AI. IP and Accelerators: Innovating for better outcomes. Deep Domain Knowledge: Expertise across industries. Diverse AI-Ready Talent: 16,000+ AI-trained professionals. Ecosystem Orchestrator: Partnering with leading AI platforms like AWS, Google, IBM, Microsoft, and Salesforce. Ayon Banerjee Sameer Dixit Bidish Sarkar Jason Spaulding Raja Banerji

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If you feel stuck in the MQL rat wheel, you are not alone... B2B professionals tried to address it in many different ways: → Increasing lead volume (didn’t work) → Introducing more and edgier tools (didn’t work) → Implementing complex attribution models and tools (didn’t work) → Adopting demandgen methodologies (didn’t work) Here are the core issues. Plus, the ways to solve it: 1️⃣Leads are generated based on quantity, not quality, leading to a high volume of unqualified leads. 2️⃣Marketing and sales teams have different definitions of what constitutes a "quality lead," resulting in miscommunication and wasted resources. 3️⃣Lack of feedback loops between sales and marketing 4️⃣Over-reliance on automated tools and processes that don't capture the nuances of a high-quality lead. 5️⃣No understanding of the target audience, leading to poor targeting and irrelevant leads. 6️⃣Misalignment of incentives, with marketing rewarded for lead volume rather than lead quality and conversion rates. 7️⃣Failure to segment leads based on their readiness to buy, resulting in premature hand-offs to sales. 8️⃣Over-focusing on short-term metrics (like cost per lead) instead of long-term success indicators (like customer lifetime value). 9️⃣Not doing a proper GTM diagnosis before going all in on a methodology (ABM, demandgen, leadgen..) and a specific mix of channels Rat wheel or something worked for you? Your response here 👇______________👇

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MIT to CTO: Pioneering Tech Innovations in Ad Tech with Carl Livadas In this episode of Analytics Today, co-hosts Dr. Jeremy Roberts and Sameer Khan welcome Carl Livadas, a distinguished technology leader and CTO of Sojern. Hailing from a robust academic background at MIT and extensive experience in cybersecurity at Intel Research and BBN Technologies, Carl shares his journey from researcher to tech entrepreneur. Here are five key takeaways from this episode of "Analytics Today" with guest Carl Livadas: 1) Insights into Transitioning from Academia to Tech Leadership: Carl shares his journey from an academic background at MIT to becoming a CTO, highlighting the value of adapting research skills to meet the fast-paced demands of the tech industry. 2) Understanding the Role of AI and Machine Learning in Advertising: Carl explains how Sojern uses AI to optimize online advertising efficiency, offering a deep dive into cross-channel optimization and the balance between exploration and exploitation in ad spending. 3) The Importance of Privacy in Online Advertising: Discussion on how the advertising industry is evolving with privacy regulations and how technologies like AI can help balance effective marketing with consumer privacy. 4) Leadership Philosophies for Technology Managers: Carl emphasizes the importance of team dynamics, supporting individual growth within the team, and strategic planning for organizational development. 5) Career Advice for Aspiring Tech Leaders: Carl provides actionable advice for professionals aiming for C-level positions, stressing the importance of following one's passion, choosing the right environment, and building a supportive and effective team. Sell faster, smarter & better: Apollo AI Harnesses database of 250M+ contacts & sales engagement signals to create hyper-personalized AI msg Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you. Support the Show. Follow us on Twitter @sameerkhan or @jeremyaroberts or leave us a review on iTunes Click below to listen to our latest episode: https://lnkd.in/gAADm2Zu

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Check out the top five most powerful ways retailers are using Gemini models to transform their businesses and accelerate growth.

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Every enterprise is racing AI's improvement. They must adopt AI faster than it erodes their advantages and makes their size a weakness. Long-term planning must include this question: How fast until AI can perform all the tasks of an organization (OpenAI level 5)?

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Highlights of 6 Concepts in Einstein Service Agent Autonomous AI Agent via Salesforce.com  - 2-minute Video News Story is posted here:  https://lnkd.in/dCmsYdH AI NEWS - ChannelPartner.TV Announces Acceleration of CrossTalk Ultra AI Video Network Platform Integrating GPT-4o (Omni) with “Kill Switch” - Coming Soon and also explore other models suited for customer needs. There more here:  https://lnkd.in/gATf2mr6 VIDEO NEWS - "When it comes to specific types of video, B2B marketers indicated they are getting the most bang for their buck with "short-form videos" made for social media." Tequia Burt Editor in Chief at @Linkedin - DM to get started or get the Media Kit here - https://lnkd.in/gcfWkANC AI NEWS - AI users in Colorado, don’t buy AI until you know the seller/reseller is in compliance with Colorado Law - get guidance to help you comply and avoid a business disaster - https://lnkd.in/g-QAkj3y This 2-minute video is also published on ChannelPartner.TV ChannelPartner.TV and ChannelAI.TV the Largest Channel AI & Cybersecurity All-Video News Network with more than 2,200+ videos including scripts and other links where - You can start your own podcast, videocast with live streaming and ondemand access by millions and promotion in the Linkedin group and others. DM for details. It is time to move beyond text only PR and IR and also be ADA compliant - DM you PR to be videotized into video press releases and video news stories - #AI #AInews #PR #CMO #IR 

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Great article and areas to watch! The next frontier isn't just in using AI but in mastering its integration into sales workflows, turning predictive and personalized analytics into true competitive edge - all while blending human intuition with AI-driven insights.

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Has AI displaced any SaaS vendors for you yet? Yesterday, I used it to create and deploy a custom survey faster and cheaper than we could find an existing vendor that met our requirements. It was easier to just tell an AI (o1-mini) what we needed to do and then deploy it (Replit).

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