Scala Archives - gettectonic.com - Page 11
Sales Prospecting Tools
17May

Sales Prospecting Tools

The Complete Guide to Sales Prospecting Tools Sales prospecting tools: Two men examining a touchscreen displaying dashboards and charts. With the right tools, you can spend more time building relationships that convert prospects into loyal customers. Learn how technology can help you identify and engage the right prospects more efficiently. Selling has become more challenging, with 69% of sales professionals agreeing that their jobs are harder now. That’s why sales prospecting tools are crucial—they streamline the process, making it faster and more accurate. When equipped with the right tools, you can focus more on nurturing customer relationships, turning prospects into long-term clients. In this guide, we’ll explore what sales prospecting tools are, key features to look for, and the biggest benefits they provide. What Are Sales Prospecting Tools? Sales prospecting tools are software solutions designed to help sales teams identify, engage, and convert potential customers. These tools enhance the sales prospecting process, enabling sales reps to quickly and effectively reach new buyers. They often integrate with existing platforms, such as Customer Relationship Management (CRM) software and email marketing systems, to optimize outreach and engagement. Typically, prospecting tools focus on outbound marketing, helping sales reps connect with potential customers who may not yet be familiar with the company or product. Types of Sales Prospecting Tools Selecting the right sales prospecting tool depends on your current prospecting methods and future goals. Below are the most common categories of prospecting tools: Lead Generation Tools Lead generation tools help sales teams identify prospects who are ready to purchase. These tools streamline workflows, enhance productivity, and flag potential buyers based on their online activity. For example, they might alert a rep when a prospect searches for solutions related to your product or service. Some lead generation tools also enable mass outreach, such as power dialers that allow sales reps to call multiple prospects simultaneously. Choosing the right lead generation tool depends on how your target customers prefer to engage. For instance, if you have better results from social media interactions than phone calls, a power dialer may not be the best fit. Evaluate your analytics and future goals to determine which tool will maximize your success. CRM Software CRM software manages all customer and prospect interactions across sales, service, marketing, and more. Acting as a single source of truth, CRM platforms centralize all sales activity in one location, allowing leaders to assign prospects and track progress more effectively. With AI-powered features, CRM tools can guide reps on the next best steps and personalize workflows, improving conversion rates. CRMs also provide critical insights for targeting prospects more likely to convert. Social Media Prospecting Tools Social media has become a powerful channel for sales prospecting. Specialized tools scrape social platforms for data to help sales reps identify prospects ready for outreach. For instance, they can track user activity related to the business problem your product solves and notify reps when users engage with relevant content. The integration of AI in social media prospecting tools has further boosted their effectiveness. As AI continues to evolve, expect more sophisticated features in this space. Why Are Sales Prospecting Tools Important? In today’s competitive market, your prospects are also being contacted by your competitors—most of whom are using advanced sales prospecting tools. If you’re not using similar tools, you risk falling behind. Sales prospecting tools help level the playing field by streamlining research and outreach, allowing reps to connect with the right prospects at the right time. However, these tools must be used strategically. Simply contacting more people won’t guarantee more sales. Personalization and targeting remain key. Using the insights provided by these tools, sales reps can tailor their messages and approaches, making each outreach effort more effective. Benefits of Using Sales Prospecting Tools When fully integrated into your sales processes, prospecting tools can deliver substantial benefits, including: Key Features to Look for in Sales Prospecting Tools To ensure your sales prospecting tool adds value to your business, consider the following features: Compliance Keeping up with constantly changing rules around prospecting—especially across different channels—can be daunting. A good prospecting tool automates compliance, ensuring your emails, calls, and social media outreach meet best practices and regulations. Ease of Use Your prospecting tool should simplify your workflow, not complicate it. Look for intuitive interfaces and tools that can automate repetitive tasks, such as dialing multiple numbers or sending emails in bulk. AI-Powered Analytics Tools with AI capabilities can generate valuable insights, such as identifying the best time to call a prospect or suggesting which channel is most likely to yield a response. System Integration Your prospecting tool should seamlessly integrate with existing systems, such as CRMs and marketing automation platforms, to ensure data flows smoothly and insights are actionable across your entire workflow. Customizable and Scalable Your sales process is unique to your business. Opt for customizable and scalable tools that can adapt as your needs change, ensuring you get maximum ROI from your investment. Make Prospecting Work for Your Business Without the right tools, your team is at a disadvantage compared to competitors using advanced sales prospecting technologies. Finding a tool with the right features and customizing it for your specific needs—such as pricing structures and campaign strategies—can empower your team to prospect more efficiently, yielding better results in less time. Content updated October 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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May 17, 2024in Data, Marketing Automation, Technology
mulesoft and healthcare
14May

MuleSoft and Healthcare

Driving Innovation in Healthcare Through Data Interoperability Healthcare organizations are navigating an unprecedented surge in patient data, which is critical for communication, research, and management. This data plays a pivotal role in modernizing healthcare and improving outcomes, particularly with the shift toward a Value-Based Care Model. However, 81% of IT leaders report that much of this data remains trapped in silos, hindering innovation and negatively impacting patient satisfaction. The Importance of Interoperability in Healthcare Improving Patient Outcomes and Managing RiskLeading healthcare organizations understand that achieving interoperability—seamless data exchange across clinical and non-clinical systems—is vital. Beyond supporting Value-Based Care, interoperability drives patient satisfaction, loyalty, and cost-efficiency. By enabling accurate data sharing, healthcare providers can: Interoperability also supports proactive preventative care, reducing long-term healthcare costs and boosting life expectancy. Regulatory Mandates: The Interoperability and Patient Access Final RuleSince May 1, 2020, the Centers for Medicare & Medicaid Services (CMS) have mandated interoperability through the Interoperability and Patient Access Final Rule. This legislation holds U.S. healthcare providers accountable for: Non-compliance can result in significant fines and public reporting of violations, further emphasizing the criticality of achieving interoperability. The Challenge of ImplementationDespite its clear benefits—improved patient outcomes, compliance, and cost savings—achieving interoperability poses challenges. Technological complexities and siloed data structures hinder seamless integration. This is where MuleSoft, a Salesforce company, provides a powerful solution. How MuleSoft Enables Interoperability in Healthcare Breaking Down Silos with API-Led IntegrationMuleSoft is a trusted partner for leading healthcare organizations, offering secure, scalable solutions to eliminate data silos. Recognized as a Leader in Gartner’s Magic Quadrant for iPaaS, MuleSoft empowers providers with its HIPAA-compliant Anypoint Platform, facilitating interoperability through API-led integration. Key Features and Benefits Transforming Healthcare with MuleSoft The digital transformation of healthcare is accelerating, driven by evolving regulations, patient expectations, and a dynamic global environment. MuleSoft stands at the forefront of this shift, empowering healthcare organizations to: By partnering with MuleSoft, healthcare organizations can embrace innovation and build healthier connections—one integration at a time. Contact Tectonic today to get started. 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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May 14, 2024in Data, Mulesoft, Salesforce
AI Data Foundation
07May

AI Data Foundation

In the era of AI, the Data Foundation is crucial for empowering AI-driven customer experiences. Data Cloud emerges as a unifying force, seamlessly integrating data to fuel transformative AI encounters and elevate customer-centricity. Beyond mere data management, Data Cloud represents a significant advancement, enabling profound insights by harmonizing diverse data sources with CRM data from the Salesforce platform. This convergence facilitates the unlocking of actionable insights critical for informed decision-making. In a strategic collaboration, Salesforce and AWS extend their partnership to enhance AI capabilities. AWS AI services are integrated into Salesforce’s Einstein Trust Layer, empowering Data Cloud with seamless access to AWS data services and compute resources. Additionally, Data Cloud and other Salesforce offerings are now accessible through the AWS Marketplace, streamlining procurement processes. This insight explores how Data Cloud unifies vast and varied business data with CRM data from the Salesforce Einstein Platform. It serves as a robust foundation for AI-powered customer experiences, providing businesses with unprecedented insights into their data universe. With Data Cloud, businesses can seamlessly combine CRM data with diverse sources, including transactional data, IoT device data, and social media interactions. This consolidation fosters a single source of truth, enhancing decision-making and the relevance of AI models. Unlike traditional approaches that involve laborious data movement, Data Cloud operates on AWS infrastructure, enabling seamless data connectivity and preparation without the need for ETL processes. Leveraging Apache Iceberg and Salesforce’s contributions, Data Cloud ensures data consistency, flexibility, and interoperability, essential for AI-driven insights. Moreover, Data Graphs offer a novel approach to assemble and rapidly access data collections from disparate sources, facilitating grounded AI experiences. Through Model Builder and Einstein Copilot Studio, businesses can seamlessly access Data Cloud data in Amazon SageMaker for custom AI model creation without ETL overheads. This partnership between Salesforce and AWS represents a paradigm shift in data management and AI integration. By combining Salesforce’s customer-centric approach with AWS’s scalable infrastructure, Data Cloud empowers businesses to harness AI as a practical tool for growth and innovation in the digital era. 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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May 7, 2024in Data, Einstein 1 Platform, Salesforce, Salesforce Einstein
Salesforce Hyperforce Summer 24 Release Notes
26Apr

Salesforce Hyperforce Summer 24 Release Notes

Hyperforce is the next-generation Salesforce infrastructure architecture built for the public cloud. Salesforce Hyperforce Summer 24 Release Notes. It provides Salesforce applications with compliance, security, privacy, agility and scalability and gives customers more choice over data residency. Salesforce Hyperforce Summer 24 Release Notes Hyperforce is Salesforce’s renewed infrastructure architecture, based on the consumption of public cloud services. It has been designed to offer customers a more powerful and easily scalable platform. In this new scenario, Salesforce does not manage physical resources. What is the difference between Hyperforce and Lightning? The Lightning Platform is the core infrastructure in Salesforce whereas, Hyperforce is a new infrastructure model provided by the CRM platform. 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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April 26, 2024in Hyperforce, Salesforce, Salesforce Sales Cloud
Government CRM System
12Apr

Government CRM System

Explore How Governments Can Modernize Services for Citizens with Government CRM System What is CRM in Government? CRM (Customer Relationship Management) systems in government streamline administrative tasks, allowing public servants to concentrate on enhancing citizens’ daily lives. Does the US Government Use Salesforce? Salesforce is valuable to the US federal government due to its highly customizable nature, catering to diverse agency needs and projects. Understanding AI in Government: Reshaping Public Sector Services Enhancing Workforce Skills for Better Constituent Experiences and Efficient Agency Operations The AI revolution presents opportunities for governments to enhance efficiency and service delivery. AI technologies can significantly improve data processing, cybersecurity, public planning, and other critical areas. Government agencies must raise awareness about the benefits of AI and upskill employees to bridge the AI skills gap. This transformation enables workers to better serve the public and foster trust between sectors. However, the rapid adoption of AI also raises concerns about a potential skills crisis, as highlighted by a survey revealing insufficient high-quality AI and machine learning resources. While AI promises to create new jobs, it may also displace certain roles. Organizations must prepare employees for this shift, ensuring they transition to higher-value work and acquire the necessary AI skills. Data Modernization: Paving the Way for an AI-Optimized Future Modernizing data infrastructure is essential for leveraging AI effectively. Employees can upskill in data science and AI, facilitating this transition from traditional workflows to AI-driven processes. Applications of AI in Government AI offers transformative potential across various government functions, such as traffic management, healthcare delivery, and administrative tasks like paperwork processing. Government agencies can enhance operations through AI-driven insights, improving efficiency, and service delivery for citizens. Challenges and Opportunities in AI Adoption Despite the promise of AI, many public agencies lack sufficient AI and data management capabilities among their workforce. Effective Education and Training for AI Implementation Organizations must prioritize AI education and responsible usage to better serve the public while upholding stringent security standards. Understanding Government Cloud Salesforce Salesforce Government Cloud and Government Cloud Plus provide dedicated instances of Salesforce’s Customer 360 suite, tailored to meet government requirements. Enhancing Government Efficiency with Modern CRM Solutions Explore How CRM Software Can Revolutionize Citizen Engagement and Government Operations CRM systems empower local governments to establish meaningful connections with citizens, improving service delivery and operational efficiency. Key Features of Local Government CRM Software Discover essential CRM features for local government agencies, including workflow automations, communication tools, data security, citizen contact management, real-time analytics, and business intelligence reporting. Evaluating CRM Data-Quality Solutions Evaluate CRM solutions based on security, flexibility, scalability, interoperability, ease of use, and customization capabilities to enhance government operations effectively. Strategies for Implementing CRM Workflows in Government Implement CRM systems strategically to improve service delivery and constituent engagement, focusing on data integration and minimizing the need for complex coding during deployment. By embracing modern CRM technologies and AI solutions, governments can enhance efficiency, transparency, and citizen satisfaction, ushering in a new era of effective public service delivery. Government CRM System. 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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April 12, 2024in Mulesoft, Salesforce Experience Cloud, Salesforce Public Sector Solutions
Salesforce for Travel, Transportation, and Hospitality
08Apr

Hotel Salesforce CRM for Hospitality

Salesforce offers hospitality professionals the tools to address marketing, sales, and customer support needs through the Marketing, Service, and Sales Cloud. Hotel Salesforce CRM for Hospitality. Customer Relationship Management (CRM) software tailored for hotels assists in engaging guests, managing reservations, coordinating projects, and streamlining communications. Hotel CRM software simplifies operations within the hospitality sector. Salesforce for Hospitality Customer Experience In the travel industry, particularly in hotels, customer experience reigns supreme. Hotels serve as temporary homes for guests, making their experience pivotal in determining future patronage. However, with the surge in travel and advancements in technology, the demand for personalized experiences has escalated. Meeting these expectations is essential not only for standing out in a competitive market but also for maintaining a positive online reputation. As travel becomes more accessible and prices decrease, managing a large volume of customers while delivering personalized experiences presents a significant challenge. Hotels must deepen their understanding of customers to avoid losing them amid the crowd. This is where CRM comes into play. CRMs for Hospitality CRM entails managing customer expectations, interactions, and loyalty to provide the most personalized journey possible. Modern CRM solutions, often cloud-based and mobile-compatible, leverage AI and big data to comprehend customers better and deliver proactive solutions, ensuring timely and relevant interactions. Hotel CRMs are specifically designed to address the unique needs of the hospitality industry. They assist in monitoring online reviews and social media chatter, enabling prompt responses to maintain a positive online reputation. Quick problem-solving is crucial in hotels, and CRM tools streamline issue resolution by providing relevant customer information promptly. Moreover, hotel CRMs enhance guest experiences by facilitating personalized journeys from initial contact to post-stay interactions. Mobile access is essential for guests, and many CRM platforms offer tools for building mobile apps and portals to enhance convenience. Hotel Salesforce CRM for Hospitality Ultimately, CRM systems empower hotels to manage customer loyalty effectively, offering better communication, multi-channel advertising, and useful employee tools. For hotels seeking these benefits, choosing the right CRM is crucial. Salesforce stands out as a top platform for hotel CRM, providing comprehensive solutions to meet diverse industry needs. In today’s travel and hospitality industry, efficiency and exceptional guest experiences are paramount. To achieve this, companies must focus on automating routine tasks, unifying data, and leveraging AI for insights. Exceptional experiences remain the best way to attract and retain customers, driving efficient growth even in challenging times. If your hotel or hospitality destination is looking to increase guest satisfaction, contact Tectonic about Salesforce today. 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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April 8, 2024in Salesforce, Salesforce Hospitality Travel and Transportation
AI Then and Now
30Mar

AI Then and Now

AI: Transforming User Interactions and Experiences Have you ever been greeted by a waitress who already knows your breakfast order? It’s a relief not to detail every aspect — temperature, how do you want your eggs, what kind of juice, bacon or sausage, etc. This example encapsulates the journey we’re navigating with AI today. AI Then and Now. This article isn’t about ordering breakfast; it’s about the evolution of user interactions, particularly how generative AI might evolve based on past trends in graphical user interfaces (GUIs) and emerging trends in AI interactions. We’ll explore the significance of context bundling, user curation, trust, and ecosystems as key trends in AI user experience in this Tectonic insight. From Commands to Conversations Let’s rewind to the early days of computing when users had to type precise commands in a Command-Line Interface (CLI). Imagine the challenge of remembering the exact command to open a file or copy data. This complexity meant that only a few people could use computers effectively. To reach a broader audience, a shift was necessary. You might think Apple’s creation of the mouse and drop down menues was the pinnacle of success, but truly the evolution predates Apple. Enter ELIZA in 1964, an early natural language processing program that engaged users in basic conversations through keyword recognition and scripted responses. Although groundbreaking, ELIZA’s interactions were far from flexible or scalable. Around the same time, Xerox PARC was developing the Graphical User Interface (GUI), later popularized by Apple in 1984 and Microsoft shortly thereafter. GUIs transformed computing by replacing complex commands with icons, menus, and windows navigable by a mouse. This innovation made computers accessible and intuitive for everyday tasks, laying the groundwork for technology’s universal role in our lives. Not only did it make computing accessible to the masses but it layed the foundation upon which every household would soon have one or more computers! The Evolution of AI Interfaces Just as early computing transitioned from the complexity of CLI to the simplicity of GUIs, we’re witnessing a parallel evolution in generative AI. User prompts are essentially mini-programs crafted in natural language, with the quality of outcomes depending on our prompt engineering skills. We are moving towards bundling complex inputs into simpler, more user-friendly interfaces with the complexity hidden in the background. Context Bundling Context bundling simplifies interactions by combining related information into a single command. This addresses the challenge of conveying complex instructions to achieve desired outcomes, enhancing efficiency and output quality by aligning user intent and machine understanding in one go. We’ve seen context bundling emerge across generative AI tools. For instance, sample prompts in Edge, Google Chrome’s tab manager, and trigger-words in Stable Diffusion fine-tune AI outputs. Context bundling isn’t always about conversation; it’s about achieving user goals efficiently without lengthy interactions. Context bundling is the difference in ordering the eggs versus telling the cook how to crack and prepare it. User Curation Despite advancements, there remains a spectrum of needs where users must refine outputs to achieve specific goals. This is especially true for tasks like researching, brainstorming, creating content, refining images, or editing. As context windows and multi-modal capabilities expand, guiding users through complexity becomes even more crucial. Humans constantly curate their experiences, whether by highlighting text in a book or picking out keywords in a conversation. Similarly, users interacting with ChatGPT often highlight relevant information to guide their next steps. By making it easier for users to curate and refine their outputs, AI tools can offer higher-quality results and enrich user experiences. User creation takes ordering breakfast from a manual conversational process to the click of a button on a vending-like system. Designing for Trust Trust is a significant barrier to the widespread adoption of generative AI. To build trust, we need to consider factors such as previous experiences, risk tolerance, interaction consistency, and social context. Without trust, in AI or your breakfast order, it becomes easier just to do it yourself. Trust is broken if the waitress brings you the wrong items, or if the artificial intelligence fails to meet your reasonable expectations. Context Ecosystems Generative AI has revolutionized productivity by lowering the barrier for users to start tasks, mirroring the benefits and journey of the GUI. However, modern UX has evolved beyond simple interfaces. The future of generative AI lies in creating ecosystems where AI tools collaborate with users in a seamless workflow. We see emergent examples like Edge, Chrome, and Pixel Assistant integrating AI functionality into their software. This integration goes beyond conversational windows, making AI aware of the software context and enhancing productivity. The Future of AI Interaction Generative AI will likely evolve to become a collaborator in our daily tasks. Tools like Grammarly and Github Copilot already show how AI can assist users in creating and refining content. As our comfort with AI grows, we may see generative AI managing both digital and physical aspects of our lives, augmenting reality and redefining productivity. The evolution of generative AI interactions is repeating the history of human-computer interaction. By creating better experiences that bundle context into simpler interactions, empower user curation, and augment known ecosystems, we can make generative AI more trustworthy, accessible, usable, and beneficial for everyone. 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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March 30, 2024in AI Tools, Artificial Intelligence, Data, Generative AI, Google, Salesforce, Salesforce Einstein, Technology
Where Will AI Take Us?
26Mar

Where Will AI Take Us?

Author Jeremy Wagstaff wrote a very thought provoking article on the future of AI, and how much of it we could predict based on the past. This insight expands on that article. Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn. These machines can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Many people think of artificial intelligence in the vein of how they personally use it. Some people don’t even realize when they are using it. Artificial intelligence has long been a concept in human mythology and literature. Our imaginations have been grabbed by the thought of sentient machines constructed by humans, from Talos, the enormous bronze automaton (self-operating machine) that safeguarded the island of Crete in Greek mythology, to the spacecraft-controlling HAL in 2001: A Space Odyssey. Artificial Intelligence comes in a variety of flavors, if you will. Artificial intelligence can be categorized in several ways, including by capability and functionality: You likely weren’t even aware of all of the above categorizations of artificial intelligence. Most of us still would sub set into generative ai, a subset of narrow AI, predictive ai, and reactive ai. Reflect on the AI journey through the Three C’s – Computation, Cognition, and Communication – as the guiding pillars for understanding the transformative potential of AI. Gain insights into how these concepts converge to shape the future of technology. Beyond a definition, what really is artificial intelligence, who makes it, who uses it, what does it do and how. Artificial Intelligence Companies – A Sampling AI and Its Challenges Artificial intelligence (AI) presents a novel and significant challenge to the fundamental ideas underpinning the modern state, affecting governance, social and mental health, the balance between capitalism and individual protection, and international cooperation and commerce. Addressing this amorphous technology, which lacks a clear definition yet pervades increasing facets of life, is complex and daunting. It is essential to recognize what should not be done, drawing lessons from past mistakes that may not be reversible this time. In the 1920s, the concept of a street was fluid. People viewed city streets as public spaces open to anyone not endangering or obstructing others. However, conflicts between ‘joy riders’ and ‘jay walkers’ began to emerge, with judges often siding with pedestrians in lawsuits. Motorist associations and the car industry lobbied to prioritize vehicles, leading to the construction of vehicle-only thoroughfares. The dominance of cars prevailed for a century, but recent efforts have sought to reverse this trend with ‘complete streets,’ bicycle and pedestrian infrastructure, and traffic calming measures. Technology, such as electric micro-mobility and improved VR/AR for street design, plays a role in this transformation. The guy digging out a road bed for chariots and Roman armies likely considered none of this. Addressing new technology is not easy to do, and it’s taken changes to our planet’s climate, a pandemic, and the deaths of tens of millions of people in traffic accidents (3.6 million in the U.S. since 1899). If we had better understood the implications of the first automobile technology, perhaps we could have made better decisions. Similarly, society should avoid repeating past mistakes with AI. The market has driven AI’s development, often prioritizing those who stand to profit over consumers. You know, capitalism. The rapid adoption and expansion of AI, driven by commercial and nationalist competition, have created significant distortions. Companies like Nvidia have soared in value due to AI chip sales, and governments are heavily investing in AI technology to gain competitive advantages. Listening to AI experts highlights the enormity of the commitment being made and reveals that these experts, despite their knowledge, may not be the best sources for AI guidance. The size and impact of AI are already redirecting massive resources and creating new challenges. For example, AI’s demand for energy, chips, memory, and talent is immense, and the future of AI-driven applications depends on the availability of computing resources. The rise in demand for AI has already led to significant industry changes. Data centers are transforming into ‘AI data centers,’ and the demand for specialized AI chips and memory is skyrocketing. The U.S. government is investing billions to boost its position in AI, and countries like China are rapidly advancing in AI expertise. China may be behind in physical assets, but it is moving fast on expertise, generating almost half of the world’s top AI researchers (Source: New York Times). The U.S. has just announced it will provide chip maker Intel with $20 billion in grants and loans to boost the country’s position in AI. Nvidia is now the third largest company in the world, entirely because its specialized chips account for more than 70 percent of AI chip sales. Memory-maker Micro has mostly run out of high-bandwidth memory (HBM) stocks because of the chips’ usage in AI—one customer paid $600 million up-front to lock in supply, according to a story by Stack. Back in January, the International Energy Agency forecast that data centers may more than double their electrical consumption by 2026 (Source: Sandra MacGregor, Data Center Knowledge). AI is sucking up all the payroll: Those tech workers who don’t have AI skills are finding fewer roles and lower salaries—or their jobs disappearing entirely to automation and AI (Source: Belle Lin at WSJ). Sam Altman of OpenAI sees a future where demand for AI-driven apps is limited only by the amount of computing available at a price the consumer is willing o pay. “Compute is going to be the currency of the future. I think it will be maybe the most precious commodity in the world, and I think we should be investing heavily to make a lot more compute.” Sam Altman, OpenAI CEO This AI buildup is reminiscent of past technological transformations, where powerful interests shaped outcomes, often at the expense of broader societal considerations. Consider early car manufacturers. They focused on a need for factories, components, and roads.

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March 26, 2024in Generative AI
Learning AI
16Mar

AI Success is a Team Sport

The contemporary workplace is currently experiencing a profound transformation. The Future of Jobs Report from the World Economic Forum predicts that AI will replace approximately 85 million jobs by 2025, while concurrently generating around 97 million AI-related jobs. AI Success is a Team Sport and will require hiring and training people. This significant shift necessitates a reevaluation of work dynamics, introducing new roles that involve collaboration between “humans, machines, and algorithms.” Amidst this transformative period, AI provides opportunities for organizations to reimagine existing roles, offer upskilling opportunities, and design innovative positions to meet evolving needs. For leaders in the data domain, the crucial task is to assess which jobs could benefit from AI. This requires a thorough understanding of organizational tasks, skills, and strategic goals, complemented by a scalable change management process to accommodate the growth of AI initiatives. To pinpoint relevant jobs, the following steps can be taken: Despite 67% of global business leaders considering the use of generative AI, an equal number of IT leaders acknowledge a skills gap among their employees. “I think most business leaders have a good sense of what the key jobs are inside their organizations. Of those key jobs, what are the good candidates for AI? I think it’s important for any executive—data or not—to understand what they are and plan accordingly.” SOLOMON KAHN DATA LEADERSHIP COLLABORATIVE  The implementation of AI necessitates a specialized team, encompassing roles from project managers to domain experts. The composition of the team depends on the project’s complexity, scope, budget, and overall strategic objectives. But to be sure, AI Success is a Team Sport. Key roles for AI initiatives include: AI acts as a disruptor to traditional business practices, and this disruption is viewed positively. The bonuses far outweigh the challenges. The new generation of user-friendly AI technologies, such as generative AI, has moved beyond the hype cycle, offering applications that generate personalized offers and automated chatbots capable of solving complex customer support issues. In this era powered by AI, data leaders play a pivotal role in driving transformative change. 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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March 16, 2024in Salesforce Einstein
Tectonic at a Glance
04Mar

AI Product Management Tools

Embracing AI in Product Management: Your New Best Friend, Not a Replacement-Original published by https://zedaio.medium.com/ Amid the lively debates about AI taking over product management roles, let’s set the record straight: AI is here as an ally, not a replacement. It’s about leveraging AI to amplify our capabilities, streamline mundane tasks, and make room for the creative and strategic aspects of product management. AI Product Management Tools. Here are seven AI tools that will automate your daily routines, offering support that transforms the way you manage products. Ready to upgrade your product management game with AI by your side? Let’s dive in! 1. Zeda.io Zeda.io is one of the best AI tools for product managers. It offers a complete suite of features that help you in feedback management, strategic planning, and closing the loop. It is a perfect tool if you are striving to balance your customer needs and business goals. With integrations like Slack, Gong, Teams, Salesforce, and more, you can gather and manage customer feedback effortlessly. Its unique AI technology generates valuable, actionable insights by categorizing all the feedback, helping you uncover pressing customer issues and decide what to build next. Key Features: 2. ChatGPT An obvious choice, ChatGPT can automate many of your tasks. It helps make sense of vague product user feedback, create PRDs, release notes, and other documents. The key is to use the right prompts and GPT plugins tailored for product managers. Key Features: 3. Notion AI Notion is a cloud-based productivity and collaboration tool that provides various organizational tools, including task management, project tracking, to-do lists, bookmarking, and more. Notion’s AI can assist product managers in several ways. Key Features: 4. Uizard Uizard is a user interface design tool that uses AI to quickly and efficiently create wireframes, mockups, and prototypes in minutes. The tool’s advanced deep-learning algorithms analyze images provided by product teams and managers to create design themes. Key Features: 5. ClickUp ClickUp is a cloud-based tool that helps teams manage their work effectively, offering features like task management, time tracking, file sharing, and communication tools. ClickUp is highly customizable and offers multiple AI tools that integrate seamlessly into workflows. Key Features: 6. Delibr Delibr is an excellent tool for AI product teams to collaborate effectively during the feature refinement process. It helps capture, synthesize, and organize feedback from diverse sources, enabling informed decision-making and creating high-quality documentation. Key Features: 7. Fireflies.ai Fireflies.ai enhances meeting productivity by transcribing, summarizing, and analyzing voice conversations. It integrates with major video-conferencing platforms and offers various ways to capture meetings, including a Chrome extension and direct uploads. Key Features: AI Product Management Tools Embracing AI in product management doesn’t mean diminishing the value of human insight; it’s about enhancing our capabilities and efficiency. The seven AI tools outlined here offer a glimpse into a future where technology and creativity intersect, empowering product managers to achieve more in less time. By integrating suitable tools into your workflow, you can focus on innovation and strategy, ensuring your products not only meet but exceed user expectations. Let AI be your ally to achieve greater heights and product success. 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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March 4, 2024in AI Tools, Data, Google, Salesforce, Salesforce Einstein, Technology
Salesforce Pro Suite
20Feb

Salesforce Pro Suite

Revolutionizing CRM: Introducing Salesforce Pro Suite In today’s dynamic business technology landscape, Salesforce has established itself as a leader in customer relationship management (CRM) solutions. The launch of Salesforce Pro Suite marks a significant milestone in their mission to empower businesses with cutting-edge tools designed to optimize operations, enhance customer engagement, and drive growth. This article explores the features, benefits, and potential of Salesforce Pro Suite, showcasing why it stands out as a transformative solution for businesses of all sizes. What is Salesforce Pro Suite? Salesforce Pro Suite is a comprehensive collection of integrated tools and services designed to augment the capabilities of Salesforce’s CRM platform. Tailored for modern businesses—from startups to large enterprises—it incorporates advanced functionalities such as artificial intelligence (AI), automation, and data analytics to boost productivity, foster collaboration, and facilitate informed decision-making. Unlock growth and deepen customer relationships with Pro Suite—the all-in-one CRM suite with marketing, sales, service, and commerce tools that scale with your business. Get the flexibility to automate tasks and customize your CRM to fit your specific needs with Pro Suite. Key Features of Salesforce Pro Suite Benefits of Salesforce Pro Suite Use Cases of Salesforce Pro Suite What Can You Do with Pro Suite? Conclusion Salesforce Pro Suite represents a significant advancement in CRM technology, offering a comprehensive suite of tools that cater to the diverse needs of modern businesses. By harnessing AI, automation, and advanced analytics, Pro Suite empowers organizations to optimize operations, enhance customer engagement, and make informed, data-driven decisions. Whether you’re a small startup or a large enterprise, Salesforce Pro Suite provides the scalability, flexibility, and security required to thrive in today’s competitive 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 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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February 20, 2024in Artificial Intelligence, Data, Enterprise, Salesforce, Technology
How to Implement AI for Business Transformation
15Jan

How to Implement AI for Business Transformation

Harnessing the Power of AI for Business Transformation The age of artificial intelligence (AI) is here. How to Implement AI for Business Transformation? Once a niche technology confined to research labs and the realm of science fiction, AI has now become a mainstream force. Today, an estimated 35% of businesses are leveraging AI to enhance products, boost efficiency, and gain a competitive edge. However, for companies yet to begin their AI journey, the path to implementation can seem daunting. So how can organizations navigate the complexities of AI and unlock its potential to drive success? This comprehensive guide is designed to empower businesses to confidently adopt AI. We’ll break down what AI is, assess your organization’s readiness, help you develop a robust AI strategy, and explore how to implement and integrate AI across operations. Ultimately, this insight will show you how to embrace AI for continuous innovation, helping automate tasks, uncover insights, and future-proof your business. AI Era Demands an Intelligent Data Infrastructure AI consulting services and digital transformation partners like Tectonic underscore the technology’s immense value, helping organizations evaluate, implement, and scale AI initiatives. However, knowing where to start and who to trust can be challenging. This guide will provide best practices for planning and executing AI projects, helping you make informed decisions when selecting solutions and partners. By the end, your organization will be equipped with the knowledge and confidence needed to make AI a powerful competitive advantage. Understanding the AI Landscape Before diving into AI implementation, it’s important to understand what artificial intelligence is and the wide array of applications it offers. What is Artificial Intelligence? Artificial intelligence (AI) refers to software and machines designed to perform tasks that typically require human intelligence—such as visual perception, speech recognition, decision-making, and language translation. AI is already deeply integrated into many everyday products and services, including: Machine Learning Basics At the core of most AI systems is machine learning (ML), which involves training algorithms on vast datasets, enabling them to learn from examples without being explicitly programmed for every scenario. There are three main types of machine learning: Beyond ML, fields like natural language processing (NLP) focus on understanding human language, while computer vision analyzes visual content such as images and video. Real-World AI Applications Understanding the fundamentals of AI helps organizations align their needs with its capabilities. Common business use cases for AI include: Armed with this knowledge, businesses can better evaluate how AI fits into their goals and operations. Developing a Comprehensive AI Strategy Once you understand the AI landscape, the next step is developing a strategic plan to guide implementation. Establishing an AI Vision and Objectives AI adoption must align with clear financial and operational goals. Leadership teams should identify: Aligning stakeholders and executive leaders around specific use cases will drive urgency, investment, and commitment. AI Ethics and Governance AI adoption also requires guidelines for ethical usage, transparency, and accountability. Organizations should consider: Establishing these frameworks early ensures responsible and transparent AI usage. Resourcing an AI Program AI implementation requires the right talent and resources. Budget considerations should include: A Phased AI Adoption Roadmap Rather than attempting to scale AI all at once, organizations should adopt a phased approach: This roadmap balances short-term impact with long-term scalability. Choosing the Right AI Implementation Approach With your strategy in place, the next decision is how to implement AI. Three primary approaches are: The choice depends on your organization’s internal capabilities, desired level of customization, and timeline. Integrating AI into Your Operations Successful AI implementation requires careful planning and integration with existing operations. Develop an Integration Plan Consider how AI will interact with existing systems and workflows: Address Security and Privacy Ensure that AI systems comply with data privacy regulations and security protocols, especially when handling sensitive information. Drive Adoption Through Training Help staff understand how AI will augment their roles by providing training on how the algorithms work and how to interact with AI systems effectively. Monitor for Model Decay Implement processes to monitor and retrain models as needed to ensure continued performance and reliability. Embracing AI for Continuous Improvement AI should be viewed as an ongoing investment, driving continuous improvement across the organization. Encourage a Data-Driven Culture Empower teams to identify new AI use cases and experiment with AI-driven solutions. Provide the tools and frameworks to facilitate this culture of innovation. Foster Responsible AI Ensure that AI systems are transparent, accountable, and designed to augment human decision-making responsibly. Commit to Reskilling As AI capabilities evolve, continually upskill employees to ensure your workforce remains at the forefront of technological advancements. Unlocking the Future of AI The potential of AI to revolutionize businesses is clear. However, achieving success requires more than just technical capabilities. It demands thoughtful planning, strategic alignment, and a commitment to continuous improvement. By following this guide, your organization can confidently implement AI to unlock powerful data-driven insights, automate tasks, and achieve lasting competitive advantage. The future of AI is full of possibilities—are you ready to seize them? Tectonic is ready to help. How to Implement AI for Business Transformation 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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January 15, 2024in Artificial Intelligence, Data, Google, Technology
Salesforce Marketing Cloud Account Engagement
05Jan

Salesforce Marketing Cloud Engagement for Industries

Customer and stakeholder expectations for communication have reached unprecedented levels in 2024. Every message now demands personalization, targeting, and relevance to foster enduring and meaningful relationships. How can you ensure that you meet these heightened expectations and cultivate lifelong connections with your customers? With Salesforce Marketing Cloud Engagement for Industries. Enter Marketing Cloud Engagement for Industries, a solution crafted by Salesforce to assist companies and organizations of any size in crafting personalized customer and stakeholder experiences through scalable email campaigns and data-driven insights. This robust offering provides a foundational framework for leveraging Marketing Cloud, offering pre-built tools, templates, and assets customized for your specific industry. The result? The ability to engage with your customers and stakeholders swiftly and effectively. This suite of outreach marketing tools helps you communicate with and engage your supporters, customers, contacts, and prospects. With Marketing Cloud Engagement for Industries, you receive a tailored package that includes: Additional tools are at your disposal to expedite the implementation of Marketing Cloud Engagement and minimize setup time. A user-friendly Get Started page walks you through the configuration process, and industry-specific assets—such as sample email templates and journeys—empower you to extract greater value from Marketing Cloud more efficiently. And Tectonic is ready to be your implementation partner. Contact Tectonic today for more information. If you are already using Marketing Cloud you can still add the Get Started page and pre-built assets. Note that to use Marketing Cloud Engagement for Industries does require the implementation of Salesforce Lightning Experience and My Domain for a more specific domain name in your Salesforce org. Connecting Marketing Cloud Engagement with Salesforce can be a complex process. Tectonic can help. Like2 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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January 5, 2024in Data, Salesforce, Salesforce Financial Services Solutions, Salesforce for Nonprofits, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Marketing Cloud, Salesforce Sales Cloud

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