AI Training Archives - gettectonic.com - Page 2
Salesforce Free AI Training
19Sep

Salesforce Free AI Training

Salesforce Expands Access to Free AI Training to Address Global Skills Gap SAN FRANCISCO — September 18, 2024 – Salesforce (NYSE: CRM), the #1 AI-powered CRM, has announced a significant expansion of its AI skilling initiatives. Starting today, Salesforce will offer its premium AI courses and certifications free of charge to anyone via its online learning platform, Trailhead, through the end of 2025. This initiative aims to help bridge the growing AI skills gap by providing accessible education for individuals across industries. To further support these efforts, Salesforce will open new physical training spaces at its San Francisco headquarters, including a pop-up AI Center offering in-person community courses and a dedicated AI skilling floor for employees. This investment, valued at over $50 million, is designed to empower the workforce with essential AI skills as the demand for AI talent surges globally. Research from Slack highlights a growing urgency among executives to integrate AI into business operations, with interest increasing sevenfold in the last six months. However, more than two-thirds of workers have yet to engage with AI tools, and only 15% feel they possess the necessary training to use them effectively. “The advent of AI and agents represents the biggest technological shift of our generation and will radically change how people work,” said Brian Millham, President and Chief Operating Officer at Salesforce. “We need to ensure everyone has the skills to succeed in this new AI-driven world.” Expanding AI Training Opportunities Salesforce has already helped thousands of professionals acquire technical skills through premium, instructor-led training and certifications. With these new offerings, the company aims to reach an additional 100,000 learners, empowering every Trailblazer to become an “Agentblazer” in this evolving AI landscape. You don’t need to spend thousands of dollars in AI education for yourself or your workforce. Salesforce has it at your fingertips for free. Trailhead now offers a wide range of AI-specific courses, covering topics like AI fundamentals, ethical AI use, and prompt engineering. Since June 2023, learners have earned over 2.6 million AI and data badges, helping unlock critical skills for the future of work. Creating Spaces for Hands-on AI Learning In addition to expanding its online offerings, Salesforce is building AI training spaces around the globe. After launching its first AI Center in London, the company will open a pop-up AI Center at its San Francisco headquarters in 2025, with plans for additional locations in Chicago, Tokyo, and Sydney. These centers will host in-person Trailhead courses and bring together experts, partners, and customers to advance AI innovation. Introducing Agentforce — A Groundbreaking AI Suite As part of its ongoing AI revolution, Salesforce is also upskilling its 72,000-strong workforce through quarterly AI learning days and immersive experiences at the newly created AI Knowledge Center in San Francisco. The centerpiece of this initiative is Agentforce, an innovative suite of AI agents designed to enhance productivity in service, sales, marketing, and commerce. By automating repetitive tasks, these agents allow employees to focus on higher-value work. Since the launch of Slack AI in February, Salesforce employees have saved nearly 3 million work hours through AI-driven tools that summarize information, find answers, and generate new ideas. Nearly 40% of the AI and data badges earned on Trailhead belong to Salesforce employees, demonstrating the company’s commitment to internal skilling and innovation. “AI will transform the workforce, creating new roles and opportunities. It’s our responsibility as employers to provide training that prepares workers for the future,” said Nathalie Scardino, President and Chief People Officer at Salesforce. “Grounded in our values, we’re leveraging Salesforce’s full power to help everyone succeed in this AI-driven era.” Related Resources For more information about Salesforce, visit www.salesforce.com or call 1-800-NO-SOFTWARE. About SalesforceSalesforce is the world’s leading AI-powered CRM, helping organizations of all sizes reimagine their business for the AI age. Powered by its trusted platform, Agentforce, Salesforce brings humans and AI agents together to drive customer success through data-driven insights and actions. Salesforce is headquartered in San Francisco, with offices globally, and trades on the NYSE under the ticker symbol “CRM.” 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

Read More
September 19, 2024in AI Tools, Data
US Comprehensive AI Legislation
09Sep

US Comprehensive AI Legislation

U.S. policymakers have yet to pass comprehensive AI legislation through Congress, but several AI-related bills are now making their way to the Senate floor, presenting new opportunities for regulation. In late July, the U.S. Senate Committee on Commerce, Science, and Transportation advanced eight AI-focused bills aimed at enhancing the transparency and safety of AI systems. These bills also target AI-generated deepfakes—false images, audio, and videos. Since the launch of OpenAI’s ChatGPT in late 2022, regulating AI has become a key issue at both federal and state levels. This week, California lawmakers advanced SB 1047, a bill requiring safety testing for AI models, which is awaiting Governor Gavin Newsom’s signature. Most of the bills before the Senate center on innovation, research, and safety, with only one— the Artificial Intelligence Research, Innovation, and Accountability Act—introducing penalties for non-compliance. “Voluntary guidance and standards can help companies develop safer, more responsible AI, but without binding requirements, the real impact is unlikely,” said Enza Iannopollo, an analyst at Forrester Research. However, Hodan Omaar, a senior policy manager at the Center for Data Innovation, praised the Senate’s emphasis on AI research and innovation, expressing optimism about the progress being made. Here’s a look at the key AI bills up for consideration after Congress returns from summer recess: 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

Read More
September 9, 2024in Salesforce
2024 AI Glossary
02Sep

2024 AI Glossary

Artificial intelligence (AI) has moved from an emerging technology to a mainstream business imperative, making it essential for leaders across industries to understand and communicate its concepts. To help you unlock the full potential of AI in your organization, this 2024 AI Glossary outlines key terms and phrases that are critical for discussing and implementing AI solutions. Tectonic 2024 AI Glossary Active LearningA blend of supervised and unsupervised learning, active learning allows AI models to identify patterns, determine the next step in learning, and only seek human intervention when necessary. This makes it an efficient approach to developing specialized AI models with greater speed and precision, which is ideal for businesses aiming for reliability and efficiency in AI adoption. AI AlignmentThis subfield focuses on aligning the objectives of AI systems with the goals of their designers or users. It ensures that AI achieves intended outcomes while also integrating ethical standards and values when making decisions. AI HallucinationsThese occur when an AI system generates incorrect or misleading outputs. Hallucinations often stem from biased or insufficient training data or incorrect model assumptions. AI-Powered AutomationAlso known as “intelligent automation,” this refers to the integration of AI with rules-based automation tools like robotic process automation (RPA). By incorporating AI technologies such as machine learning (ML), natural language processing (NLP), and computer vision (CV), AI-powered automation expands the scope of tasks that can be automated, enhancing productivity and customer experience. AI Usage AuditingAn AI usage audit is a comprehensive review that ensures your AI program meets its goals, complies with legal requirements, and adheres to organizational standards. This process helps confirm the ethical and accurate performance of AI systems. Artificial General Intelligence (AGI)AGI refers to a theoretical AI system that matches human cognitive abilities and adaptability. While it remains a future concept, experts predict it may take decades or even centuries to develop true AGI. Artificial Intelligence (AI)AI encompasses computer systems that can perform complex tasks traditionally requiring human intelligence, such as reasoning, decision-making, and problem-solving. BiasBias in AI refers to skewed outcomes that unfairly disadvantage certain ideas, objectives, or groups of people. This often results from insufficient or unrepresentative training data. Confidence ScoreA confidence score is a probability measure indicating how certain an AI model is that it has performed its assigned task correctly. Conversational AIA type of AI designed to simulate human conversation using techniques like NLP and generative AI. It can be further enhanced with capabilities like image recognition. Cost ControlThis is the process of monitoring project progress in real-time, tracking resource usage, analyzing performance metrics, and addressing potential budget issues before they escalate, ensuring projects stay on track. Data Annotation (Data Labeling)The process of labeling data with specific features to help AI models learn and recognize patterns during training. Deep LearningA subset of machine learning that uses multi-layered neural networks to simulate complex human decision-making processes. Enterprise AIAI technology designed specifically to meet organizational needs, including governance, compliance, and security requirements. Foundational ModelsThese models learn from large datasets and can be fine-tuned for specific tasks. Their adaptability makes them cost-effective, reducing the need for separate models for each task. Generative AIA type of AI capable of creating new content such as text, images, audio, and synthetic data. It learns from vast datasets and generates new outputs that resemble but do not replicate the original data. Generative AI Feature GovernanceA set of principles and policies ensuring the responsible use of generative AI technologies throughout an organization, aligning with company values and societal norms. Human in the Loop (HITL)A feedback process where human intervention ensures the accuracy and ethical standards of AI outputs, essential for improving AI training and decision-making. Intelligent Document Processing (IDP)IDP extracts data from a variety of document types using AI techniques like NLP and CV to automate and analyze document-based tasks. Large Language Model (LLM)An AI technology trained on massive datasets to understand and generate text. LLMs are key in language understanding and generation and utilize transformer models for processing sequential data. Machine Learning (ML)A branch of AI that allows systems to learn from data and improve accuracy over time through algorithms. Model AccuracyA measure of how often an AI model performs tasks correctly, typically evaluated using metrics such as the F1 score, which combines precision and recall. Natural Language Processing (NLP)An AI technique that enables machines to understand, interpret, and generate human language through a combination of linguistic and statistical models. Retrieval Augmented Generation (RAG)This technique enhances the reliability of generative AI by incorporating external data to improve the accuracy of generated content. Supervised LearningA machine learning approach that uses labeled datasets to train AI models to make accurate predictions. Unsupervised LearningA type of machine learning that analyzes and groups unlabeled data without human input, often used to discover hidden patterns. By understanding these terms, you can better navigate the AI implementation world and apply its transformative power to drive innovation and efficiency across your organization. Tectonic 2024 AI Glossary 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 Alphabet Soup of Cloud Terminology As with any technology, the cloud brings its own alphabet soup of terms. This insight will hopefully help you navigate Read more

Read More
September 2, 2024in Generative AI
Need AI Training
02Aug

Need AI Training

Workers in office jobs are missing out on essential AI training, crucial for adapting to the evolving labor market, according to a report from software giant Salesforce. Released Tuesday, the report is based on a series of anonymous surveys and reveals that approximately 70% of desk workers have not received training in generative AI. Furthermore, only 21% of respondents said their companies have clearly defined policies regarding approved AI tools and their usage. Additionally, 62% believe they lack the necessary skills to use the technology effectively. Despite this lack of formal training and clear policies, many workers are taking the initiative to use AI tools independently. The report highlights that “workers aren’t waiting for permission to use AI,” with 55% of survey respondents using unapproved tools and 40% using AI tools explicitly banned by their employers. The report emphasizes the need for clear protocols and approved tools to address data security and ethical concerns. Clara Shih, CEO of Salesforce AI, stresses the importance of continuous learning in response to the rapid changes in AI technology, stating, “The unprecedented pace of change in AI requires companies to upskill their entire workforce. This is not a ‘one-and-done’ exercise, but rather a continuous cycle of learning as AI evolves.” However, some companies are stepping up to meet this challenge. While less than half of U.S. companies had initiated AI training for their workers by April, according to a LinkedIn study, businesses like JPMorgan Chase, Amazon, PricewaterhouseCoopers, AT&T, Verizon, Moderna, and General Motors are launching AI literacy initiatives for their employees and the broader workforce. For instance, Amazon aims to train 2 million people globally in generative artificial intelligence by 2025. 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

Read More
August 2, 2024in Generative AI
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

Read More
July 17, 2024in Salesforce
AI Center New Era of Cross Industry Collaboration
20Jun

AI Center New Era of Cross Industry Collaboration

On Tuesday, Salesforce celebrated the launch of its new AI center in London with a complimentary training event that was attended by over a hundred software developers and administrators. This event was part of the center’s “AI Now Tour,” aimed at equipping developers from various industries with the skills to build the next generation of AI applications. AI Center New Era of Cross Industry Collaboration is an exciting new stage of artificial intelligence. A lot of “artificial intelligence” captures human creativity that is original. Regulators need to insist on training data transparency. No doubt the center will stand up plenty of conversations around regulations. This initiative underscores Salesforce’s commitment to training 100,000 developers worldwide. Attendees represented diverse sectors including automotive, financial services, retail, consumer goods, travel, hospitality, health and life sciences, and insurance. Needless to say, everyone has an appetite for AI. Reasons People Have Appetite for AI and Reasons They Do Not According to some polls, people are more concerned than excited about artificial intelligence (AI): Paul O’Sullivan, the new head of the Salesforce AI center and the UK&I CTO, discussed the center’s event and content strategy with publication TechInformed. He emphasized a plan to host “deep industry events” with a sector-specific focus, as well as cross-industry events to explore new business models. “Cross-industry opportunities are crucial in the AI landscape,” O’Sullivan noted. “For example, the future of self-driving cars impacts not just the automotive and OEM sectors but also insurance—who will be insured in the future? The driver, the car manufacturer, or the algorithm engineer?” He added that the center will foster thought leadership and cross-industry collaboration, offering new business models for customers. Despite the developer training courses being fully booked until the end of September, O’Sullivan highlighted that the 14,000 sq. ft. center, located in the Blue Fin building near Waterloo, is open to all businesses interested in exploring AI, not just Salesforce customers. In partnership with business growth agencies like London & Partners, O’Sullivan aims to extend training opportunities to local universities and apprenticeship program supporters. “We want to leverage our relationships to support the next generation, including students in art, design, and creative fields,” he said. AI Center New Era of Cross Industry Collaboration The new AI center, part of Salesforce’s $4 billion investment in the UK over the next five years, is located near iconic London landmarks such as the Tate Modern and Shakespeare’s Globe Theatre. The opening event was attended by notable UK business and industry figures, including Howard Dawber, the Deputy Mayor of London for Business and Growth, and Janet Coyle CBE, Managing Director of Grow London at London & Partners. 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

Read More
June 20, 2024in Salesforce
Gov Agencies AI Workforce Challenges
24Mar

Gov Agencies AI Workforce Challenges

Federal agencies are placing a higher priority on providing AI training to their workforces with a focus on principles of transparency and accountability, officials announced at ATARC’s GITEC conference in Charlottesville, Virginia earlier. Gov Agencies AI Workforce Challenges. Alexis Bonnell, Air Force Research Laboratory CIO and Director of the Digital Capabilities Directorate, emphasized the importance of upholding existing ethics standards rather than creating new ones. She stressed that agencies need to exercise the ethical principles they have always been expected to follow. President Biden’s October 2023 executive order on artificial intelligence mandated that agencies develop ethical AI and establish AI offices, among other directives. While agencies like the Defense Department and the Department of Homeland Security are optimistic about AI’s potential, leaders remain cautious about its ethical implications and stress the importance of safe technology development. It’s not just technologists who require AI training. To ensure all employees understand AI’s risks and benefits, government leaders are prioritizing education and upskilling efforts. Steven Brand, Energy Deputy CIO of Resource Management, highlighted the initiative to provide foundational AI training across his department, emphasizing that the goal is not to make employees experts. Tammy Hornsby-Fink, Executive Vice President and System CISO at the Federal Reserve Bank of Richmond, emphasized the need for accessible learning opportunities for all department members, from data scientists to executive assistants, to grasp AI concepts in manageable increments. Hornsby-Fink also emphasized the importance of providing sandboxes for employees to experiment with new technologies safely, stressing that experimentation is key to understanding how these technologies can create business value. According to Tony Boese, Department of Veterans Affairs Interagency Programs Manager, consistent education is essential to combat misinformation about AI. He mentioned the agency’s ASPIRE data-literacy program, which leverages AI to identify skills gaps and tailor educational pathways for individuals. Karen Howard, IRS Office of Online Services Executive Director, highlighted the need to modernize recruitment strategies and change management principles to attract top talent and leverage digital transformation and AI effectively. Jamie Holcombe, U.S. Patent and Trademark Office CIO, emphasized the importance of diversifying agency workforces by bringing in new perspectives from industry, such as those from Silicon Valley, to move away from outdated organizational playbooks. Gov Agencies AI Workforce Challenges 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 Alphabet Soup of Cloud Terminology As with any technology, the cloud brings its own alphabet soup of terms. This insight will hopefully help you navigate Read more

Read More
March 24, 2024in Salesforce Einstein
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

Read More
March 16, 2024in Salesforce Einstein
10Mar

Developing Your AI Workforce in the Public Sector

Even the most advanced and technically robust AI solutions can only achieve their full potential with a dedicated team proficient in their utilization. Developing Your AI Workforce in the Public Sector has some primary challenges. Key considerations include: This insight delves into the composition of an Integrated Product Team, strategies for assembling and overseeing AI talent, and the creation of learning programs designed to foster transformative AI capabilities. Start with People: Identifying AI Talent Survey your organization to identify existing analytics talent or teams with an analytics orientation. Although analytics and AI differ, overlapping baseline skills can be developed. Assess existing talent by identifying individuals who exhibit qualities such as supporting decisions with data, comfort with statistics and math, proficiency in creating macros in Excel, an interest in computer programming, and an understanding of technology’s role in enhancing processes. Leverage the existing pool of intelligent individuals within your organization. Some may already possess AI and ML skills, while others may have skills that can be augmented to become AI-related.  Are they in IT, in one of the business functions, or part of the Office of the Chief Experience Officer (CXO)? Augment Talent When Needed: Consider public-private partnerships to access innovation emerging from private industry, particularly when faced with challenges in attracting, training, and retaining data science talent. Bringing in outside talent or vendors may be suitable when dealing with limited use cases requiring niche skills or for quickly testing the potential benefits of an AI solution. Developing and Retaining AI Talent: Mission and Practitioner Support Ensure that AI work aligns closely with the agency’s mission, providing a unique value proposition for AI practitioners. Meaningful work and practitioner support are crucial for retaining AI talent. Retention incentives and skill development can be optimized by providing federal employees with awareness and access to AI-related training opportunities. Formal education, training programs, conferences, and exchanges with industry and academia contribute to the continuous development of AI practitioners. An important part of assessing an organization’s existing talent is acknowledging that some people may already be leveraging defined AI and ML skills. Others, however, may work in technical roles or have skills that are not directly AI related, but could easily be supplemented to become AI skills. Understanding AI Job Roles and Career Paths Identify where AI practitioners should sit within mission areas and program offices. Roles include data analysts, data engineers, data scientists, technical program managers, AI champions, project sponsors, mission or program office practitioners, project managers, and business analysts. The success of AI projects depends on the Integrated Project Team’s makeup and understanding the challenge at hand. Certainly, many agencies want to increase the AI know-how of their internal staff. However, much of the innovation emerging in the AI field comes from private industry. Public-private partnerships are often an excellent way to get more support for AI projects. Career Path: AI-focused practitioners may start as junior data engineers or data scientists, with career paths evolving based on experience and education. Senior technical positions such as senior data architects or principal data scientists may exist, indicating extensive technical experience. Management career paths can transition from data engineer or data scientist to technical program manager. Recruiting AI Talent: Competing with Private Industry While the government may not compete with private industry on salary and bonuses, it can offer interesting and meaningful work tied to company missions. Centralized recruitment and certification through the central AI resource can ensure that incoming AI talent is well-qualified and suitable for the agency’s practitioner environment. This is even more important in public sector and nonprofit organizations. Placing AI Talent: The central AI resource, with access to technical infrastructure, data, security, legal, and human capital support, can provide well-qualified candidates. Mission and business centers should coordinate closely with the AI resource to ensure that vetted candidates align with staffing needs and contribute to mission and program goals. Developing Your AI Workforce in the Public Sector Mission and practitioner support The most powerful tools for retaining government AI talent are ensuring that AI work is closely tied to the agency mission and ensuring that AI talent has the technical and institutional support to work effectively as AI practitioners. This combination forms the unique value proposition for an AI career that only federal agencies can provide, and is usually the reason AI practitioners chose government over industry and academia. Developing Your AI Workforce in the Public Sector means meeting the correct balance of opportunity, reward, and challenge. If AI practitioners love the company mission but are unable to function as AI practitioners, they are also unlikely to stay if the agency is unable to leverage their skill set. Both meaningful work and practitioner support are crucial for retaining AI talent. Developing Your AI Workforce should be started early and focused on continually. Retention incentives and skill development One way to make the best use of these usually limited incentives is to ensure federal employees have full awareness and access to AI related training and skill development opportunities. AI and data science are fields that often require a significant technical and academic background for success. However, it’s also important for people to be open-minded about who might have (most of) the relevant skills and capabilities. Developing Your AI Workforce in the Public Sector is no more or less challenging than in nonprofit or for profit industries. They should not assume that only people with computer science or statistics education are going to be appropriate for AI-centric positions. A culture that prizes and generously supports learning not only ensures the continued effectiveness of the AI workforce, but also serves as a powerful recruitment and retention tool.  The success of an AI project hinges on the composition of the Integrated Project Team (IPT). While technical expertise is undeniably crucial, the project’s failure is inevitable without a thorough understanding of the challenges to be addressed and obtaining support from the mission and program team. And we can’t emphasize enough the seriousness of the human element. This distinction

Read More
March 10, 2024in Salesforce Einstein, Salesforce Public Sector Solutions
AI Training Options
29Feb

AI Training Options

As AI adoption accelerates, AI certifications and courses have proliferated, providing deeper knowledge of this rapidly evolving technology. AI Training Options. Numerous AI certifications cover the basics, so we’ve narrowed the field to 10 of the most diverse and comprehensive programs. AI Training Options Artificial intelligence is poised to become the key technology that drives business transformation and gives companies a competitive edge. According to a recent forecast by the International Data Corporation, global spending on AI—including AI-enabled applications, infrastructure, and related services—will more than double to $632 billion by 2028, growing at a compound annual rate of 29% between 2024 and 2028. AI helps businesses boost productivity by automating processes such as robotics and autonomous vehicles, while also supporting existing workforces with technologies like assisted and augmented intelligence. Companies are integrating AI across various sectors, including finance, healthcare, retail, smart home devices, fraud detection, and security surveillance. Why AI certifications are important: 10 of the best AI certifications and courses: Each certification offers unique benefits, whether you’re a beginner or an experienced professional aiming to stay ahead in AI-driven industries. Content updated September 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

Read More
February 29, 2024in Artificial Intelligence, Data, Generative AI, Google, Technology
Generative AI Prompts with Retrieval Augmented Generation
11Feb

Generative AI Cheat Sheets

Wanted to utilize this insight to share a link to some incredible AI cheat sheets compiled by Medium. Generative AI Cheat Sheets. Top 8 Cheat Sheets on AI Whether you need assistance building a Powerpoint Presentation, AI for enterprise, machine learning, podcast enhancement tools, large language models, efficient ChatGPT prompts, efficient use of emojis, journeys, or more. This list is pretty inclusive. Tectonic would like to share one additional tool we have been using internally. Fireflies. Firflies helps teams transcribe, summarize, search, and analyze voice conversations. When ChatGPT made its debut in late 2022, it sparked global recognition of the transformative capabilities of artificial intelligence (AI). This groundbreaking chatbot represents one of the most significant advancements in AI history. Unlike traditional AI systems that analyze or categorize existing data, generative AI has the remarkable ability to create entirely new content, spanning text, images, audio, synthetic data, and more. This innovation is poised to revolutionize human creativity and productivity across industries, including business, science, and society as a whole. From ChatGPT to DALL-E, the latest wave of generative AI applications has emerged from foundation models, sophisticated machine learning systems trained on massive datasets encompassing text, images, audio, or a combination of these data types. Recent advancements now enable companies to develop specialized models for image and language generation based on these foundation models, most of which are large language models (LLMs) trained on natural language. The power of these models lies not only in their scale but also in their adaptability to diverse tasks without the need for task-specific training. Techniques like zero-shot learning and in-context learning allow models to make predictions and generate responses even in domains they haven’t been explicitly trained on. As a result, companies can leverage these models to address a wide range of challenges, from customer service automation to product design. The introduction of pre-trained foundation models with unprecedented adaptability is expected to have profound implications. According to Accenture’s 2023 Technology Vision report, 97% of global executives believe that foundation models will revolutionize how and where AI is applied, enabling seamless connections across different data types. To thrive in this evolving landscape, businesses must leverage the full potential of generative AI. To expedite implementation, organizations can readily access foundation models through APIs. However, customization and fine-tuning are necessary to tailor these models to specific use cases and maximize their effectiveness. By harnessing generative AI, companies can enhance efficiency, drive innovation, and gain a competitive edge in the market. As generative AI continues to evolve, its impact will only multiply. Companies will increasingly rely on these technologies to streamline workflows, optimize processes, and unlock new opportunities for growth and innovation. With the global AI market projected to reach nearly trillion by 2030, the future holds immense potential for companies to leverage generative AI in solving complex problems and driving transformative change. Generative AI encompasses various machine learning techniques, including transformer models, generative adversarial networks (GANs), and variational autoencoders (VAEs). These technologies underpin a wide range of applications, from natural language processing to image generation, enabling businesses to approach tasks in innovative ways. While generative AI presents unprecedented opportunities, it also raises ethical and security concerns. It is essential for companies to adopt responsible AI practices and ensure the safe and ethical use of these technologies. By embracing generative AI and investing in the necessary infrastructure and talent, businesses can unlock its full potential and drive sustainable growth in the digital era. 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

Read More
February 11, 2024in Generative AI, Salesforce
Learn AI
31Oct

Learn AI

Achieving Excellence in Artificial Intelligence: The Path to Success-Learn AI In the rapidly evolving world of Artificial Intelligence (AI), quality and core skills are paramount for building a rewarding career. Merely possessing credentials won’t suffice in the highly competitive AI landscape. Employers are seeking knowledgeable employees. This is an industry so new, anyone can get involved. To embark on a trajectory of lifelong growth, investing in the right AI certification course is imperative. According to the Access Partnership Survey, 42% of employers seek individuals with AI development qualifications, a figure expected to rise to 51% in the next five years. This underscores the trust placed by global recruiters in renowned AI certification programs. Various specializations such as computer vision, machine learning, large language models, natural language processing, robotics, and AI software are witnessing significant profitability in the global market. For those seeking premier training in AI, a myriad of options awaits exploration, ranging from Generative AI to nuanced AI courses, paving the way for a flourishing career. Businesses across industries are actively seeking specialized AI professionals to drive amplified growth, while the workforce is keen on upskilling to seize lucrative AI job opportunities. As we gaze into 2024 and beyond, certain AI skills and roles will undoubtedly be in high demand, with AI emerging as one of the hottest job sectors. With Chat GPT’s rapid rise, mastering these leading AI skills has become essential. Let’s delve into the top free online AI certification programs for 2024, offering the best avenues for an illustrious AI career: While free courses are appealing, it’s essential to recognize that paid credentials often hold more weight. Enrolling in a rewarding paid AI certification program can provide a significant career boost. The United States Artificial Intelligence Institute (USAII®) stands out as a trusted choice among global recruiters. About the United States Artificial Intelligence Institute (USAII®): Renowned for its top-tier AI certification programs, USAII® is highly regarded among industry recruiters. Offering tailored certifications catering to diverse skill sets, it serves as a launchpad for AI aspirants worldwide. Explore the following AI certifications from USAII® to elevate your career: Embrace the best AI skills with globally recognized credentials, whether free or paid. Invest in an online AI certification to chart a course towards long-term career 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 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

Read More
October 31, 2023in Generative AI, Salesforce Einstein
Communicating With Machines
20Sep

Communicating With Machines

For as long as machines have existed, humans have struggled to communicate effectively with them. The rise of large language models (LLMs) has transformed this dynamic, making “prompting” the bridge between our intentions and AI’s actions. By providing pre-trained models with clear instructions and context, we can ensure they understand and respond correctly. As UX practitioners, we now play a key role in facilitating this interaction, helping humans and machines truly connect. The UX discipline was born alongside graphical user interfaces (GUIs), offering a way for the average person to interact with computers without needing to write code. We introduced familiar concepts like desktops, trash cans, and save icons to align with users’ mental models, while complex code ran behind the scenes. Now, with the power of AI and the transformer architecture, a new form of interaction has emerged—natural language communication. This shift has changed the design landscape, moving us from pure graphical interfaces to an era where text-based interactions dominate. As designers, we must reconsider where our focus should lie in this evolving environment. A Mental Shift In the era of command-based design, we focused on breaking down complex user problems, mapping out customer journeys, and creating deterministic flows. Now, with AI at the forefront, our challenge is to provide models with the right context for optimal output and refine the responses through iteration. Shifting Complexity to the Edges Successful communication, whether with a person or a machine, hinges on context. Just as you would clearly explain your needs to a salesperson to get the right product, AI models also need clear instructions. Expecting users to input all the necessary information in their prompts won’t lead to widespread adoption of these models. Here, UX practitioners play a critical role. We can design user experiences that integrate context—some visible to users, others hidden—shaping how AI interacts with them. This ensures that users can seamlessly communicate with machines without the burden of detailed, manual prompts. The Craft of Prompting As designers, our role in crafting prompts falls into three main areas: Even if your team isn’t building custom models, there’s still plenty of work to be done. You can help select pre-trained models that align with user goals and design a seamless experience around them. Understanding the Context Window A key concept for UX designers to understand is the “context window“—the information a model can process to generate an output. Think of it as the amount of memory the model retains during a conversation. Companies can use this to include hidden prompts, helping guide AI responses to align with brand values and user intent. Context windows are measured in tokens, not time, so even if you return to a conversation weeks later, the model remembers previous interactions, provided they fit within the token limit. With innovations like Gemini’s 2-million-token context window, AI models are moving toward infinite memory, which will bring new design challenges for UX practitioners. How to Approach Prompting Prompting is an iterative process where you craft an instruction, test it with the model, and refine it based on the results. Some effective techniques include: Depending on the scenario, you’ll either use direct, simple prompts (for user-facing interactions) or broader, more structured system prompts (for behind-the-scenes guidance). Get Organized As prompting becomes more common, teams need a unified approach to avoid conflicting instructions. Proper documentation on system prompting is crucial, especially in larger teams. This helps prevent errors and hallucinations in model responses. Prompt experimentation may reveal limitations in AI models, and there are several ways to address these: Looking Ahead The UX landscape is evolving rapidly. Many organizations, particularly smaller ones, have yet to realize the importance of UX in AI prompting. Others may not allocate enough resources, underestimating the complexity and importance of UX in shaping AI interactions. As John Culkin said, “We shape our tools, and thereafter, our tools shape us.” The responsibility of integrating UX into AI development goes beyond just individual organizations—it’s shaping the future of human-computer interaction. This is a pivotal moment for UX, and how we adapt will define the next generation of design. 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 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

Read More
September 20, 2023in Data
Need for AI Workers Never So Great
22Jul

Need for AI Workers Never So Great

Salesforce’s UK & Ireland chief, Zahra Bahrololoumi, emphasized the urgent need for companies to train their staff on the effective and safe use of artificial intelligence tools, speaking to City A.M. The Need for AI Workers Never So Great. Bahrololoumi highlighted the increasing demand for “highly skilled people” capable of utilizing trustworthy data sources and protecting sensitive information, noting that this need has “never been more clear nor urgent.” Her comments coincide with the release of a Salesforce survey revealing that over 60 percent of individuals who use or plan to use generative AI at work feel they lack the skills to do so “accurately and safely.” Additionally, 70 percent of workers believe their employers are not fully leveraging generative AI’s potential, and more than half desire proper AI training. Salesforce, which also owns the business messaging platform Slack, has urged the government to enhance national access to digital skills training. The survey, conducted in collaboration with YouGov, included 1,384 full-time UK employees from various industries. Artificial intelligence (AI) is used in many aspects of life, including the workplace, retail, and healthcare. AI can help people understand how technology can improve their lives through products and services. AI skills can also set you apart at an interview. 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

Read More
July 22, 2023in Generative AI, Salesforce, Salesforce Einstein
Salesforce AI
01Apr

AI Learning

The prevalence of Artificial Intelligence (AI) news is a clear indicator AI is here to stay, and whether you’re navigating the intricacies of AI or expanding your knowledge daily, one certainty remains: AI is the future of work. To support your journey in acquiring AI skills, Salesforce provides resources on Trailhead, Salesforce’s free online learning platform. As discussions about AI advancements shaping our lives unfold, concerns about the future and potential job displacement may be part of the conversation. Nevertheless, the outlook is optimistic; successful AI aims to enhance, not replace, the human workforce. According to IDC, the Salesforce economy, driven by AI, is projected to generate a net gain of $2.02 trillion in worldwide business revenues and create 11.6 million jobs globally between 2022 and 2028. The potential for AI in the workplace is huge, with 60% of global workers expressing excitement about using Generative AI in their roles. Prospect of AI The prospect of AI streamlining mundane tasks is compelling, and executives estimate that 40% of workers will need reskilling in the next three years due to AI. However, 62% of workers admit they lack the skills to use AI effectively and safely, posing a challenge in determining which tools and skills to prioritize. Trailhead, committed to breaking down barriers to learning in the digital-first world, is heavily investing to ensure everyone can acquire AI skills and thrive in this evolving work landscape. Contrary to misconceptions, AI is not exclusive to developers or data scientists. Today’s AI technology empowers salespeople to craft compelling prospecting emails, enables service reps to address issues swiftly through case swarming, and allows marketers to create highly personalized customer journeys. AI is not someone else’s concern; it is relevant for anyone in business. As more companies recognize the value of AI, the demand for individuals who can implement AI-based systems is growing. With a shortage of experts in this emerging field, we’re here to help you upskill and position yourself as the AI hero your company needs. Now is the opportune moment to enhance your AI skills. There are numerous complexities and limited time for learning. You may wonder where to focus your efforts. We’ve identified five key areas of AI expertise that employers are seeking: Regardless of your chosen focus, learning about AI is a valuable investment. We are at a juncture where organizations recognize the need for AI. But they lack individuals who understand its intricacies. By enhancing your AI knowledge, you become a unique asset to your company, a strategic career move in these changing times! 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

Read More
April 1, 2022in Salesforce, Salesforce Einstein
  • 1
  • 2

Subscribe to our mailing list. Join our mail list to receive our newsletter

We'll keep you up to date with our latest news, insights, free resources, and much more.
Don't worry, we won't spam you.
gettectonic.com