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Enthusiasm for AI Powered Future
17Jul

Enthusiasm for AI Powered Future

Trust in AI to handle certain tasks independently is growing, although the preference for AI-human collaboration remains strong. Enthusiasm for AI Powered Future. Workers are increasingly relying on AI, with a recent study showing that they trust AI to handle about 43 percent of their work tasks. This shift towards delegating tasks to AI is notable. Leaders show even more confidence, trusting AI with 51 percent of their work compared to 40 percent among rank-and-file employees. Looking ahead, 77 percent of global workers anticipate they will eventually trust AI to operate autonomously. Currently, only 10 percent of workers have this level of trust, but within the next three years, 26 percent believe they will trust AI to function independently. This trust is expected to rise to 41 percent in three or more years. Despite this, the preference for AI-human collaboration remains strong, with 54 percent of global workers favoring a collaborative approach for most tasks. However, some workers are already comfortable with AI handling specific responsibilities alone. For example, 15 percent trust AI to write code, 13 percent to uncover data insights, and 12 percent each to develop communications and act as personal assistants autonomously. There are still tasks where human involvement is deemed crucial. A significant number of workers trust only humans to ensure inclusivity (47 percent), onboard and train employees (46 percent), and keep data secure (40 percent). Building trust in AI involves greater human participation. Sixty-three percent of workers believe that increased human involvement would enhance their trust in AI. A major hurdle is the lack of understanding, as 54 percent of workers admit they do not know how AI is implemented or governed in their workplaces. Those knowledgeable about AI implementation are five times more likely to trust AI to operate autonomously within the next two years compared to those who lack this knowledge. A notable gender gap exists in AI knowledge, with males being 94 percent more likely than females to understand how AI is implemented and governed at work. Additionally, 62 percent of workers feel that more skill-building and training opportunities would foster greater trust in AI. Linda Saunders, Salesforce Director of Solutions Engineering Africa, highlighted the enthusiasm for an AI-powered future, emphasizing that human engagement is key to building trust and driving AI adoption. “By empowering humans at the helm of today’s AI systems, we can build trust and drive adoption – enabling workers to unlock all that AI has to offer,” Saunders stated. The study was conducted by Salesforce in collaboration with YouGov from March 20 to April 3, 2024. It involved nearly 6,000 full-time knowledge workers from diverse companies across nine countries, including the United States, the United Kingdom, Ireland, Australia, France, Germany, India, Singapore, and Switzerland. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 17, 2024in Salesforce
The CRM Environment in 2024
08Jul

The CRM Environment in 2024

Navigating the Global Customer Success Management Platform Market: A Comprehensive Analysis The CRM Environment in 2024. Embarking on an exploration of the worldwide Customer Success Management Platform market, this research study presents a thorough examination of current trends, market dynamics, drivers, opportunities, challenges, and key market segments. Beyond defining terms, it looks into classifications, applications, and industry chain structures. Moreover, the report illuminates the marketing strategies employed by players, distributor analyses, marketing channels, insights from potential buyers, and developmental histories. Of course at Tectonic, we’re partial to Salesforce. Insights into a Dynamic Landscape This report showcases the latest market intelligence to provide invaluable insights into the evolving Customer Success Management Platform industry. It empowers investors and stakeholders to make confident, informed business decisions by thoroughly examining emerging trends, market drivers, risks, and opportunities. Furthermore, it explores the realm of technological advancements driving market growth. Rich Data Compilation and Analysis Through meticulous analysis of both primary and secondary sources, the report compiles a rich array of qualitative and quantitative data. It segments these findings meticulously, examining economic and non-economic factors influencing market expansion. This ensures a nuanced comprehension of market patterns and directions. Segmentation Overview Customer Success Management Platform Market Segmentation by Type: Customer Success Management Platform Market Segmentation by Application: The CRM Environment in 2024 The market is segmented based on leading manufacturers, various product types, and applications across diverse geographical regions. Global and regional vendors with substantial R&D resources dominate this sector, focusing keenly on technological advancements to elevate competitiveness. Regional Insights Key players predominantly operate in North America, Asia-Pacific, Europe, South America, and Middle East & Africa. Significant contributions come from: Key Players in the Customer Success Management Platform Market: Gainsight, ClientSuccess, Salesforce, Custify, Natero, LiveAgent, Totango, Freshworks, Amity, Client Share, Strikedeck, STAMP, ChurnZero, Salesmachine, Bolstra, CustomerSuccessBox, Planhat, Catalyst, Kilterly. Highlights from the Global Market Report Conclusion In essence, this report, The CRM Environment in 2024, serves as an indispensable guide through the intricate terrains of the global Customer Success Management Platform marketplace. It offers actionable insights, strategic recommendations, and paves paths towards informed decision-making endeavors. About Orbis Research Orbis Research (orbisresearch.com) is your single-point aid for all market research needs. We specialize in delivering customized reports from leading publishers and authors worldwide, ensuring accuracy and specialization in industries and verticals. This enables clients to map their needs accurately, producing the perfect market research study tailored to their requirements. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 8, 2024in Salesforce
Sales CRM - Do You Need It
05Jul

Sales CRM – Do You Need It

Every sale is a story of connecting needs with solutions and questions with answers. A sales customer relationship management (CRM) system is essential for facilitating these connections. It helps track customer interactions and creates meaningful engagements that drive business forward. However, many sales organizations are not fully utilizing this powerful, game changing tool. According to the latest State of Sales report, two-thirds of sales professionals feel overwhelmed by too many sales applications, and only 37% believe their organizations fully leverage their CRM systems. Let’s explore how a sales CRM can improve productivity and streamline operations to enhance every customer interaction. What is a Sales CRM? A sales CRM is software designed to help sales teams manage their interactions with customers and streamline pipeline management. It securely stores customer data, leverages the power of artificial intelligence (AI) to automate key tasks and generate content, and optimizes sales processes to increase efficiency and revenue. Why is a Sales CRM Important? The State of Sales report indicates that 69% of sales professionals need efficient tools to manage job complexity. A sales CRM helps teams stay organized by storing customer details in one place, making it easier to track past interactions, follow up on leads, and close deals. This reduces time spent on administrative tasks, allowing salespeople to focus more on connecting with customers and closing sales. Today’s CRMs are more than just databases. With AI capabilities, sales teams can access and analyze customer information and automate tasks such as drafting sales emails and prioritizing tasks, transforming them into a highly efficient revenue-generating unit. How Does a CRM Help Increase Sales? A CRM assists sales representatives in suggesting products or services that meet customer needs, following up on leads, and reconnecting at the right time. For example, if a customer has expressed interest in a product, the CRM records this interaction. When that product becomes available at a discount, the salesperson can reach out with a personalized offer. CRMs can also automate follow-up reminders, encouraging customers toward a purchase. Here’s how a CRM can be applied at each stage of the sales cycle: 5 CRM Best Practices A CRM system is most effective when it supports a well-defined sales strategy. Here are some tips to enhance CRM use: Does Your Company Need a Sales CRM? To determine the need for a sales CRM, evaluate current sales processes and future goals. A CRM is particularly beneficial for business if: Tips for Choosing the Best CRM Selecting the right CRM involves considering your unique business needs. What will you gain? What will it cost? How will you implement it? How will you train sales teams to use it? Key factors include: Use Your CRM to Tell More Sales Success Stories A sales CRM serves as a comprehensive record with 360 degree views of customer interactions, helping improve productivity, foster meaningful customer engagement, and craft better success stories for your business. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 5, 2024in Salesforce
AI Agents in Line at HR
03Jul

AI Agents in Line at HR

AI Agents in Line at HR may only be a satirical cartoon for a very short time. Sorry, Farside, but your AI bits may not be able to keep up with AI. July, 2034 — A new software unicorn has just emerged inbehind a bar in a pub in East London. Unicorn, by the way, descibes a startup company valued at over $1 billion, not necessarily with a billion dollar concept. Back to East London behind the soggy bar. Hey, its our fantasy. Besides if Amazon can start in a garage, isn’t anything possible? The CEO logs in as usual and gathers daily updates from the team. The Chief Technology Officer is suggesting a new feature to deploy. The Chief Product Officer wants to redesign the CRM (or whatever CRM has evolved to) integration. The Chief Revenue Officer is showing off the new pipeline, forecast by Accountant in a Box. The Chief Customer Officer is discussing the latest customer levitation tools and product feedback. The Chief Information Security Officer has found a new privacy conflict, which they are addressing with a newly-revised infrastructure set-up. And the Head of HR is fretting about the latest round of IT candidates. This sounds like every software business you’ve ever heard of. But the difference is that the CEO’s teammates are entirely AI, not human: The CTO is Lovable. The CPO is Cogna. The CCO is Gradient Labs. The CRO is 11x. The CISO is Zylon. Back to 2024: The Rise of AI Agents In 2024, the hottest topic in software is AI agents, or Agentic AI. Founders are rapidly standing up agentic applications that can solve specific needs in functions like sales and customer services — without a human required. Software buyers, seeing real opportunities to quickly improve their P&L, are swiftly building or purchasing these agentic products. Investors have poured hundreds of millions of dollars into startups in this space in recent months. Even Salesforce wasn’t launched with a silver AI spoon in its mouth. Salesforce began investing in artificial intelligence (AI) in 2014, when the company started acquiring machine learning startups and announced its Customer Success Platform. In 2016, Salesforce launched Einstein, its AI platform that supports several of its cloud services. Einstein is built into Salesforce products and includes features like natural language processing, machine learning, and predictive analytics. It helps organizations automate processes, make decisions based on insights, and improve the customer experience. YouTube How To Increase Revenue Using AI for CRM: Salesforce … Feb 12, 2024 — What is Salesforce Einstein? Salesforce Einstein is the first trusted artifici… TechForce Services How does Salesforce Use AI for Business Growth? Jan 31, 2024 — Powered by technologies like Machine Learning, Natural Language Processing, im… saasguru · LinkedIn · 7mo History of Salesforce AI From Predictive to Generative – LinkedIn Published Nov 27, 2023. In 2014, Salesforce, under the visionary leadership of… Twistellar AI in Salesforce: History, Present State and Prospects Organizations generate tons of data on marketing and sales, and surely your sales managers… Wikipedia Salesforce – Wikipedia In October 2014, Salesforce announced the development of its Customer Success Platform. Less than ten years ago, folks. Salesforce’s large database of data has helped the company address AI challenges quickly and with quality. The company’s data cloud offering provides AI with the right information at the right time, which can reduce friction and improve the customer experience.  Salesforce’s AI-powered solutions include: To catalyze this evolution, Salesforce strategically acquired RelateIQ in 2014. This move injected machine learning into the Salesforce ecosystem, capturing workplace communications data and providing valuable insights. Europe is home to many of these exciting companies. For example, H, a French AI agent startup, raised a $220 million seed round in May. Beyond RPA: The New Wave of AI Agents AI agents represent a significant step-change from Robotic Process Automation (RPA) bots, which, as explored last year, have several limitations due to their deterministic nature. Next-generation AI agents are non-deterministic, meaning that instead of stopping at a “dead end,” they can learn from mistakes and adjust their series of tasks. Not entirely unlock the mouse running the same maze over and over for the cheese. Eventually Mr. Squeakers learns which paths are dead ends and avoids them by making better choices at intersections. In AI Agents this makes them suited to complex and unstructured tasks and means they can transform the journey from intent to implementation in software development. They can deliver “pure work,” rather than acting only as a helpful co-pilot. The rise of AI agents is not only an opportunity to expand automation beyond what is possible with RPA but also to broadly redefine how knowledge work is performed. And by who. And even how is it defined. Given the right guardrails, next-generation AI agents have the potential to effectively and safely replace knowledge workers in many business scenarios. AI Agents in Action These agents are about to revolutionize the world of work as we know it and are already getting started. For example, Klarna recently revealed that its AI agent system handled two-thirds of customer chats in its first month in operation. While HR may not be swamped with AI CVs yet, it is certainly fathomable. One would suppose those candidates would have to be reviewed and interviewed by IT, not just HR. Here’s another deep thought. The internet of things (IoT) first appeared in a speech by Peter T. Lewis in September 1985. The Internet of Things (IoT) is a network of physical devices that can collect and transmit data over the internet using sensors, software, and other technologies. IoT devices can communicate with each other and with the cloud, and can even perform data analysis and be controlled remotely. The IoT concept was smart homes, health care environments, office spaces, and transportation. Only recently have we begun to think of the IoT as including the actual computers, or AI, in addition to sensored devices. It isn’t exactly a chicken and the egg question, but more of a

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July 3, 2024in Generative AI
Best Practices for RAG LLM
02Jul

Best Practices for RAG LLM

Best Practices for Building a RAG LLM Chatbot In today’s competitive landscape, a robust Retrieval-Augmented Generation (RAG) Large Language Model (LLM) chatbot can provide a significant edge. However, implementing such a system involves multiple steps and challenges. Below is a guide to help you navigate this journey effectively. 1. Define Clear Objectives Start by identifying your goals: A clear purpose will drive your design and implementation decisions. 2. Prepare Your Data Your chatbot’s success relies heavily on the quality and structure of your data. Assess Your Data Format: Enrich Your Data: 3. Select the Right Platform Choose a platform based on your goals and data type. Common architectures include: Standard RAG with Vector Databases: Relational Databases: Hybrid Text Search: Graph Databases: 4. Fine-Tune the Model While RAG often enriches data without altering the base model, fine-tuning may be essential in specific scenarios, such as: You can fine-tune open-source models directly or use OpenAI’s APIs for custom training. OpenAI also offers domain-specific GPTs, which can save development time. 5. Master Prompt Engineering Crafting precise prompts is critical to guide LLM responses. Prompts generally include: Example for Elasticsearch: javascriptCopy codeYour task is to create a valid Elasticsearch DSL query. Given the mapping: “`{mapping}“`, translate the query: “`{query}“` into JSON. – Use only fields from the mapping. – Ensure case-insensitivity and support fuzzy matches. – Compress the JSON output, removing spaces. For advanced prompt strategies, see Modern Advances in Prompt Engineering. 6. Iterative Testing Testing machine learning models is inherently complex. Key strategies: 7. Optimize the Front-End Collaborate with UI/UX teams to integrate LLM capabilities seamlessly. Consider: 8. Avoid Common Pitfalls Looking Ahead The rise of LLMs has transformed how we think about search and chatbot applications. While we’re in the early stages, the possibilities are immense. Businesses that adapt and strategically integrate these technologies will unlock innovative opportunities and thrive in the evolving landscape. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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July 2, 2024in Data
Salesforce AI Journey
02Jul

Salesforce AI Journey

“We’re on an Incredible Journey”: Why Salesforce’s AI Push is Just Beginning This article originally appeared in TechRadar by Mike Moore. Salesforce AI Journey. When it comes to leveraging AI to enhance global workforces, some companies are leading the charge, particularly when their technology is at the forefront. Salesforce, known for its robust AI tools, is one such company pushing the boundaries. At its recent World Tour London event, Salesforce emphasized its commitment to AI, showcasing how its Einstein tools are already benefiting customers worldwide. TechRadar Pro spoke with Paul O’Sullivan, SVP, Solution Engineering & UKI, CTO, Salesforce, about the company’s vision for enhancing efficiency and productivity across all markets, particularly in the UK. A Wave of Innovation “We’re on an incredible journey,” O’Sullivan stated, referencing Salesforce’s $4 billion investment in the UK and Ireland in 2023. “We’re well-positioned in the UK to maximize AI’s potential and help our customers achieve true value.” This ambition is epitomized by Salesforce’s new AI center in London. The 40,000 square foot facility is set to be a hub for AI collaboration and development, addressing the growing demand for AI technology. O’Sullivan hinted that this is just the beginning. “We’re an innovation-led company—always looking ahead,” he said, highlighting the UK’s history of driving innovation as a positive indicator for AI’s future in the capital. Growing Demand and Education As demand for AI tools and services increases among businesses of all sizes, O’Sullivan acknowledged the rapid pace of change in the AI landscape. “It starts with education—at all levels,” he noted, recognizing the varying degrees of AI knowledge among business leaders. O’Sullivan compared the current AI momentum to past technological revolutions like cloud computing, websites, and ecommerce. Companies had to adapt quickly to avoid falling behind, and he noted that the window for catching up with AI might be even smaller. He predicted a “steady wave of innovation” in AI before it becomes ubiquitous in the business world, with various models and platforms vying for dominance. “It feels like everyone is in a race for AI,” he added, “and there’s a collective agreement that AI will enhance productivity and efficiency, benefiting both the bottom and top lines of big enterprises.” Human Jobs and AI Looking forward, O’Sullivan dismissed concerns that AI would replace human jobs. He suggested that AI would instead create new opportunities for human workers. “I think human nature is inherently curious,” he said. “We will continue to explore new ways of doing things and offer different levels of connection and service.” Drawing parallels to the industrial revolution, O’Sullivan pointed out that machines didn’t eliminate jobs; they increased productivity and efficiency. He believes AI will have a similar impact. “We’re going to see a new level of productivity and efficiency with AI, just as we did with the industrial revolution,” he concluded. Salesforce’s AI journey is only just beginning, promising exciting advancements and opportunities for businesses and workers alike. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 2, 2024in Salesforce, Salesforce Einstein
Global Medical Device Sales CRM Software Market
01Jul

Global Medical Device Sales CRM Software Market

Exploring the Global Medical Device Sales CRM Software Market: A Comprehensive Analysis The primary objective of this market research report turned Tectonic insight is to analyze the market environment and dynamics of the Global Medical Device Sales CRM Software Market. Of course at Tectonic we are partial to Salesforce. Travel into the Global Medical Device Sales CRM Software Market Venturing into the realm of the Global Medical Device Sales CRM Software Market reveals an enriching journey of exploration and discovery. This extensive research initiative explores deep into the nuances of the Medical Device Sales CRM Software industry, offering valuable insights on market trends, growth potentials, competitive dynamics, and the profound and continued influence of COVID-19. Through a detailed examination, the report constructs a structured narrative encompassing essential themes, methodologies applied, services provided, market valuation insights, and compelling reasons to attract investors to this narrative. Insights Enclosed in the Global “Medical Device Sales CRM Software Market” Report Medical Device Sales CRM Software Market Segmentation Methodologies & Tools Employed Market Valuation & CAGR Statistics The report details market value figures and Compound Annual Growth Rates (CAGRs), reflecting specific reports analyzed and varying timeframes reviewed for precise statistical comparisons. Unpacking COVID-19’s Influence The report unveils how pandemic upheavals have impacted facets such as consumer behaviors, supply chain disruptions, and broader shifts in overall marketplace dynamics. Key Players in the Medical Device Sales CRM Software Market Force Manager, Salesforce, Netsuite, Veeva Multichannel CRM, HubSpot, Pipedrive, SPOTIO, LeadSquared, PatientPop, Thryv, Zoho CRM, ChannelTrace, AcuityMD, Solo Fire, Showpad, Penrod, ConnectSx, Zendesk Sell, HashMicro, Insightly, Creatio, MaximizerCRM. Investors’ Potential Benefits In conclusion, this exhaustive exploration into the multifaceted realm of the global Medical Device Sales CRM Software marketplace offers invaluable insights into industry dynamics. It paves an informed path for decision-making processes and strategic planning endeavors for stakeholders, whether from large corporations or small businesses. About Orbis Research Orbis Research (orbisresearch.com) serves as a single point aid for all market research requirements, specializing in delivering customized reports tailored to clients’ needs. With a vast database of reports from leading publishers and authors worldwide, Orbis Research ensures accuracy and specialization in industries and verticals, enabling clients to map their specific market research needs effectively. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 1, 2024in Salesforce Health and Life Sciences Solutions, Salesforce Implementation Services
Agentic AI is Here
20Jun

Agentic AI is Here

Embracing the Era of Agentic AI: Redefining Autonomous Systems A new paradigm in artificial intelligence, known as “Agentic Artificial Intelligence,” is poised to revolutionize the capabilities of the known autonomous universe. This cutting-edge technology represents a significant leap forward in AI-driven decision-making and action, promising transformative impacts across various industries including healthcare, manufacturing, IT, finance, marketing, and HR. Agents are the way to go! There is no two ways about this. Looking into the progression of the Large Language Model based applications since last year, its not hard to see that the Agentic Process (agents as reusable, specific and dedicated single unit of work) — would be the way to build Gen AI applications. What is Agentic AI? Agentic Artificial Intelligence marks a departure from traditional AI models that primarily focus on passive observation and analysis. Unlike its predecessors, which often require human intervention to execute tasks, Agentic AI systems possess the autonomy to initiate actions independently based on their assessments. This allows them to navigate much more complex environments and undertake tasks with a level of initiative and adaptability previously unseen. At least outside of sci-fy movies. Real-World Applications of Agentic Artificial Intelligence Healthcare In healthcare, Agentic AI systems are transforming patient care. These systems autonomously monitor vital signs, administer medication, and assist in surgical procedures with unparalleled precision. By augmenting healthcare professionals’ capabilities, these AI-driven agents enhance patient outcomes and streamline care processes. Augmenting is the key word, here. Manufacturing and Logistics In manufacturing and logistics, Agentic AI optimizes operations and boosts efficiency. Intelligent agents handle predictive maintenance of machinery, autonomous inventory management, and robotic assembly. Leveraging advanced algorithms and sensor technologies, these systems anticipate issues, coordinate complex workflows, and adapt to real-time production demands, driving a shift towards fully autonomous production environments. Customer Service Within enterprises, AI agents are revolutionizing business operations across various departments. In customer service, AI-powered chatbots with Agentic Artificial Intelligence capabilities engage with customers in natural language, providing personalized assistance and resolving queries efficiently. This enhances customer satisfaction and allows human agents to focus on more complex tasks. Marketing and Sales Agentic Artificial Intelligence empowers marketing and sales teams to analyze vast datasets, identify trends, and personalize campaigns with unprecedented precision. By understanding customer behavior and preferences at a granular level, AI agents optimize advertising strategies, maximize conversion rates, and drive revenue growth. Finance and Accounting In finance and accounting, Agentic AI streamlines processes like invoice processing, fraud detection, and risk management. These AI-driven agents analyze financial data in real time, flag anomalies, and provide insights that enable faster, more informed decision-making, thereby improving operational efficiency. Ethical Considerations of Agentic Artificial Intelligence The rise of Agentic AI also brings significant ethical and societal challenges. Concerns about data privacy, algorithmic bias, and job displacement necessitate robust regulation and ethical frameworks to ensure responsible and equitable deployment of AI technologies. Navigating the Future with Agentic AI The advent of Agentic AI ushers in a new era of autonomy and innovation in artificial intelligence. As these intelligent agents permeate various facets of our lives and enterprises, they present both challenges and opportunities. To navigate this new world, we must approach it with foresight, responsibility, and a commitment to harnessing technology for the betterment of humanity. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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June 20, 2024in Marketing Automation, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Public Sector Solutions, Salesforce Sales Cloud
Hollywood's Fear of AI
17Jun

Hollywood’s Fear of AI

For the past 18 months, there has been a focus on why Generative AI (GenAI) poses a disruptive threat to Hollywood. Hollywood’s Fear of AI is entirely reasonable. This insight, most recently detailed in an investor presentation, highlights how GenAI will democratize high production-value video creation and exacerbate the low-end disruption of Hollywood already underway by creator content. The exploration now turns to another angle: why it will be challenging for major studios to capitalize on these tools, particularly AI video generators like Sora, Veo, and Runway Gen-3. Hollywood’s Fear of AI. Key Points: Early Adoption Outside Major Studios: The most promising early use cases for AI video generators will be outside major Hollywood studios. These include empowering independent creators and producers, as well as applications in advertising, music videos, and educational or corporate videos. AI won’t replace Hollywood but poses a bigger risk of disrupting it, requiring a disruptive innovation and incumbents who can’t respond effectively. Detailed Analysis: Sora’s Impact: AI has been part of the TV and film production process for a long time. Many studios use AI for concept art, localization services, and post-production work. However, AI video generators like Sora represent a new way to create video, potentially replacing much of the principal photography. The announcement of Sora was a watershed moment, showcasing radical improvements in temporal coherence, character consistency, and video length. Hollywood’s Fear of AI Legal Quagmire: Hollywood’s extensive legal framework complicates the adoption of GenAI. Studios need clear legal resolutions before extensively using GenAI in principal photography. The primary concerns are: Technical Limitations: AI video generators still fall short of professional standards. Issues include limited training sets, lack of understanding of physics, history, and geography, and insufficient control over video production elements like camera angles, lighting, and film stock. Near-Term Use Cases: Conclusion: While AI video generators won’t replace traditional Hollywood production soon, they have the potential to significantly disrupt the industry. The early adoption of these tools will likely occur outside the major studios, empowering independent creators and other sectors like advertising and education. The evolution of AI video generators continues to pose both challenges and opportunities for Hollywood. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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June 17, 2024in Generative AI
Salesforce Spiff
14Jun

Salesforce Spiff

Incentive Compensation Management Boost seller motivation and performance with incentive compensation management software that offers real-time commission visibility. Salesforce Spiff. Automate commission calculations, reduce administrative tasks, and improve departmental alignment with compensation plans geared for revenue growth. Automate Commissions and Motivate Sellers Enhance collaboration across departments and align go-to-market priorities with effective incentive compensation management. Customized Rep Statements Empower sellers by providing commission statements, tracking progress against goals, and estimating potential earnings. Use commission tracing functionality to eliminate confusion and align organizational priorities with seller motivations. In-App Comments and Notifications Manage questions, comments, and disputes efficiently within a single platform. Promote cross-organizational collaboration through real-time comments and notifications. Commission Estimator Allow sellers to predict future earnings by providing data-driven insights into incentive estimates early in the sales process. This helps sellers and managers focus on high-impact deals. Flexible Setup Quickly set up incentive compensation plans, adapting to changes in team structure or compensation complexity. Track all plan adjustments with an audit log. Powerful Automation and Workflows Automate complex commission structures, including accelerators, tiers, and triggers. Calculate thousands of statements in seconds to ensure accuracy and efficiency. Seamless Integrations Integrate CRM, ERP, HCM, payroll, or other systems to create a real-time, single source of truth for all commission needs. Data Accuracy Use machine learning to automatically match records, eliminating manual errors and providing a reliable single source of truth. Deep Audit Trail Add effective dates to any user, plan, or logic, and lock historical statements to maintain accuracy. Manage one-off changes without concern. Automated Expense Reporting Maintain compliance under ASC 606 and IFRS 15 with automated, audit-ready expense reports. Use an intuitive interface to manage exceptions, fringe benefits, and varied commission types. Salesforce and Spiff: A Strategic Acquisition After pausing mergers and acquisitions over the past year, Salesforce acquired Spiff at the end of 2023. Previously an AppExchange partner, Spiff provided robust incentive compensation management functionality, calculating commissions for sales based on closed-won deals. Integration into Sales Cloud Salesforce has integrated “Salesforce Spiff” into Sales Cloud, emphasizing the importance of Incentive Compensation Management (ICM) for high-performing companies. With 90% of top-performing companies using incentive programs, this acquisition enhances Salesforce’s offerings. Growth and Market Presence Before the acquisition, Spiff had 1,000 customers and was growing at 100% year-over-year. Salesforce’s market share of approximately 23% in the Sales CRM market indicates significant growth potential for ICM. The Importance of ICM ICM software addresses the complexity of commission calculations, including various percentages for new sales, renewals, bonuses for new customers, accelerators, and team incentives. Accurate calculations across large sales teams are crucial for maintaining motivation and performance. This is a huge time saver. From Excel to Cloud Technology While Excel spreadsheets have been a traditional solution for ICM, Spiff’s cloud technology offers greater functionality and user-friendliness. And it interfaces directly with Sales Cloud. How Salesforce Spiff Works Available as an add-on for Sales Cloud customers from May 2024, Salesforce Spiff offers: Enhanced User Experience The low-code builder simplifies the creation of commission plans, saving time compared to Excel. Real-time commission visibility allows sales users to see potential earnings, motivating them to pursue lucrative opportunities. Final Thoughts Sales roles are essential for driving business revenue. Tools like Spiff provide transparency into potential earnings, significantly impacting sales teams’ motivation and performance. Integrating Spiff into Sales Cloud enhances Salesforce’s value proposition, helping businesses optimize their sales processes and achieve better results. Availability Salesforce Spiff will be available as an add-on for Sales Cloud customers in May 2024. Non-Salesforce customers can also purchase the product from Salesforce.com/salesforcespiff starting May 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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June 14, 2024in Salesforce
Understanding and Growing Your Monthly Recurring Revenue
11Jun

Understanding and Growing Your Monthly Recurring Revenue

Understanding and Growing Your Monthly Recurring Revenue (MRR) Monthly Recurring Revenue (MRR) is a vital metric for subscription-based and managed services businesses. It indicates whether your business is growing or shrinking and is crucial for making strategic decisions. Understanding and Growing Your Monthly Recurring Revenue is a key to building, monitoring, and exploding your pipeline. What is Monthly Recurring Revenue (MRR)? While revenue represents your company’s total income, MRR is the predicted monthly revenue from active subscriptions. It includes all recurring charges such as subscriptions, service retainers, promos, discounts, and add-ons, but excludes one-time fees. Why is MRR Important? MRR provides insights into financial performance, growth potential, churn, and customer value. It is essential for strategic planning and investor relations. Benefits of Calculating MRR: Types of MRR: How to Calculate MRR: The basic formula for MRR is: MRR=Number of active accounts×Average monthly revenue per accounttext{MRR} = text{Number of active accounts} times text{Average monthly revenue per account}MRR=Number of active accounts×Average monthly revenue per account Steps to Calculate MRR: Example Calculation: MRR=(100×$50)+(50×$100)=$5,000+$5,000=$10,000text{MRR} = (100 times $50) + (50 times $100) = $5,000 + $5,000 = $10,000MRR=(100×$50)+(50×$100)=$5,000+$5,000=$10,000 So, the MRR for that month would be $10,000. Advanced MRR Calculations: Growing Your MRR: MRR is a crucial metric for understanding your customers, finances, and growth potential. By tracking and managing MRR, you can make informed decisions and drive sustainable business growth. As the subscription-based and managed services landscape evolves, prioritizing MRR is essential for improving and innovating revenue streams. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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June 11, 2024in Salesforce Financial Services Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Revenue Cloud, Salesforce Sales Cloud
Nature Tech Alliance
10Jun

Nature Tech Alliance

Exciting news! We are thrilled to introduce the Nature Tech Alliance, a groundbreaking initiative aimed at assisting companies in addressing pressing biodiversity challenges. Leading the charge are Planet, ERM, Salesforce, and NatureMetrics, joining forces to revolutionize how global corporations assess and manage their impact on nature. Alliance will focus on biodiversity measurement, management and disclosure, supporting businesses to get ahead of their nature impact reporting commitments. Formed during the World Economic Forum Annual Meeting in Davos, 2024, the Nature Tech Alliance is dedicated to expediting and expanding the evaluation, management, and disclosure of biodiversity impacts and dependencies on nature. Our goal is to drive a sustainable future for nature, people, and economies by providing companies with the tools and insights they need to understand and mitigate their impact on the environment. Through this alliance, companies will gain a comprehensive understanding of their business’s impact on nature and prepare to comply with new and forthcoming nature regulations and frameworks. This includes initiatives such as the Taskforce on Nature-related Financial Disclosures and the Corporate Sustainability Reporting Directive. At Planet, we are collaborating with other members of the alliance to provide industries with data-driven insights. Leveraging our satellite data and analytics alongside the expertise and tools of our partners, we are developing an integrated toolkit for biodiversity assessment. This toolkit will assist in value chain assessments, supplier engagement, and meeting reporting and compliance requirements. The powerful alliance will help businesses to overcome the common challenges faced in managing biodiversity integrity across industries. It will provide an integrated toolkit for biodiversity management and disclosure, including: Each member of the alliance brings unique knowledge and critical competencies to the table. ERM provides sustainability consulting and global delivery capabilities, Salesforce offers powerful technology solutions such as Net Zero Cloud, and NatureMetrics contributes its eDNA technology and on-the-ground biodiversity measurement expertise. Citizens of the planet are excited about the future of biodiversity and the opportunities for collaboration within this alliance. Thought leaders from each organization share their perspectives: Andrew Zolli, Chief Impact Officer at Planet: “We are at a pivotal moment in history where we have the technology and tools to quantify, monitor, and value our biodiversity. True collaboration is the next step, and we are thrilled to be part of this alliance to monitor and protect our world.” Matt Haddon, Global Leader for Biodiversity, Water & Nature at ERM: “By combining our capabilities, we can help organizations understand their nature-based risks and dependencies, enabling them to integrate nature into their business strategies and operations.” Tim Christophersen, VP, Climate Action at Salesforce: “To accelerate a successful transition to a net-zero and nature-positive future, businesses must measure, manage, and disclose their impact and reliance on nature. We are proud to form the Nature Tech Alliance and leverage our technologies to help other companies make a positive impact.” Dr. Kat Bruce, Founder of NatureMetrics: “This collaboration will provide full-spectrum biodiversity measurement, management, and disclosure for global corporations. Collaborations like this are critical for implementing solutions at scale and translating talk into real action on the ground.” About ERM As the world’s largest specialist sustainability consultancy, ERM partners with clients to operationalize sustainability at pace and scale, deploying a unique combination of strategic transformation and technical delivery capabilities. This approach helps clients to accelerate the integration of sustainability at every level of their business. With more than 50 years of experience, ERM’s diverse team of 8000+ experts in 40 countries and territories helps clients create innovative solutions to their sustainability challenges, unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations. Learn more here. About NatureMetrics NatureMetrics is a world leader in delivering nature data and intelligence. It uses cutting-edge technology to generate biodiversity data at scale using environmental DNA. NatureMetrics recently launched the world’s first Nature Intelligence Platform powered by eDNA, bringing a scalable solution to biodiversity monitoring, equipping businesses for the new nature reporting boom. NatureMetrics works with 500 plus clients in over 100 countries across a wide range of industries, including energy, extractives, food and drink, and financial services, helping them to get ahead of the emerging nature and biodiversity regulatory landscape. Visit: www.naturemetrics.com Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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June 10, 2024in Salesforce
ChatGPT 5.0 is Coming
06Jun

ChatGPT 5.0 is Coming

Sam Altman Teases ChatGPT-5: Here’s What We Know GPT-5: A Major Leap in AI Following the release of GPT-4, anticipation for its successor, GPT-5, has been growing. According to reports from Business Insider, GPT-5 is expected to debut in mid-2024, potentially marking a significant advancement in AI capabilities. Insiders describe GPT-5 as “materially better,” with enhancements that could transform AI-driven communication and composition. ChatGPT 5.0 is Coming. The Journey to GPT-5 After GPT-4’s launch, speculation about GPT-5’s arrival intensified. OpenAI CEO Sam Altman has hinted at the upcoming release, assuring groundbreaking advancements. However, concrete details were scarce until recent reports provided a clearer timeline for GPT-5’s debut. What to Expect from GPT-5 Early demonstrations of GPT-5 have impressed insiders, with one CEO describing it as “really good.” The model promises significant improvements, showcasing its versatility in real-world applications. From unique use cases for individual enterprises to autonomous AI agents, GPT-5 is poised to expand the boundaries of AI capabilities. Evolution of Language Models Understanding GPT-5’s significance involves tracing the evolution of OpenAI’s language models. From the groundbreaking GPT-3 in 2020 to the iterative improvements leading to GPT-4 Turbo, each iteration has advanced the sophistication of AI-driven communication tools. ChatGPT 5.0 is Coming: A Multimodal Approach Building on its predecessors, GPT-5 is expected to offer a multimodal experience, integrating text and encoded visual input. This capability opens up numerous applications, from content generation to image captioning, further embedding AI in various domains. Next-Token Prediction and Conversational AI At its core, GPT-5 remains a next-token prediction model, generating contextually relevant responses based on input prompts. This functionality underpins conversational AI applications like ChatGPT, enabling seamless user-AI interactions. Challenges and Opportunities Ahead As OpenAI prepares for GPT-5’s launch, the focus shifts to the challenges and opportunities it presents. Addressing concerns about model performance and reliability, and exploring novel use cases, the journey towards realizing the full potential of AI-driven language models is filled with possibilities. Ensuring Safety and Reliability Ensuring the success of GPT-5 involves rigorous testing and validation to guarantee its safety and reliability. As AI continues to advance, maintaining transparency and accountability in its development is crucial. Unlocking New Frontiers Beyond immediate applications, GPT-5 represents a significant step towards unlocking new frontiers in AI innovation. From enhancing natural language understanding to facilitating human-machine collaboration, the implications of GPT-5 extend far beyond its initial release. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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June 6, 2024in Salesforce Einstein

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