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Improve Patient Care and Trust

Improve Patient Care and Trust

A recent survey conducted by Kyruus Health and shared with HealthPayerIntelligence reveals that consumers are demanding more accurate online provider data from payers to enhance access to care. Healthcare solutions from Tectonic and Salesforce improve patient care and trust by improving data accuracy. The survey, fielded by Wakefield Research in April 2024, involved 1,000 healthcare consumers. Nearly three-quarters of respondents (72%) had private health insurance, with Medicare being the second most common form of coverage (18%). The participants represented an even distribution across U.S. regions and age groups, with 57% identifying as women. Payers have historically struggled to maintain up-to-date provider directories, and this survey highlights the significant impact of these challenges. About 30% of consumers reported skipping care due to inaccurate provider information, with 70% of them seeking this data online. Consumers primarily rely on health plan websites or apps for provider information, with 32% naming these platforms as their first resource. Medicaid enrollees were particularly dependent on their plan’s digital resources, with 64% turning to these tools first. Besides health plan websites and apps, consumers also used general internet searches, provider or clinic websites, and healthcare information sites like WebMD. Social media platforms were also popular for care searches, with 77% of users turning to Facebook and 61% to YouTube. The survey also revealed that payers often fail to provide accurate cost predictions. Only 32% of respondents said their health plans offered accurate cost information. Price transparency tools are particularly important to younger generations, with 76% of Millennials and 80% of Gen Z respondents using these tools. However, 40% of Baby Boomers were unsure if their plans even offered such tools. Among those who did use them, 34% found that the tools presented incorrect provider data, with 45% of Gen Z reporting this issue. Inaccurate provider information can lead to significant negative consequences for consumers, including delays in accessing care, difficulties contacting preferred providers, and higher costs. Some consumers even reported accidentally receiving out-of-network care or forgoing care altogether due to these inaccuracies. These experiences not only hinder access to care but also damage consumer trust in their healthcare providers and payers. Overall, 80% of respondents said that inaccurate provider data affected their trust, with 27% losing trust in their health plans and 22% losing trust in their providers. The survey results underscore a clear call to action. Over 60% of consumers, and nearly 75% of Gen Z specifically, want their health plans to provide more accurate data. Tectonic has decades of experience applying Salesforce solutions to health care providers and payers. To address these concerns, the report recommends that health plans take three key steps: First, engage with members through appropriate channels, including social media. Second, unify and validate their provider data to ensure accuracy. Third, introduce self-service capabilities within their digital platforms to empower consumers. Reach out to Tectonic today if your organization needs help applying these three steps. 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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Gen AI Unleased With Vector Database

Gen AI Unleased With Vector Database

Salesforce Unveils Data Cloud Vector Database with GenAI Integration Salesforce has officially launched its Data Cloud Vector Database, leveraging GenAI to rapidly process a company’s vast collection of PDFs, emails, transcripts, online reviews, and other unstructured data. Gen AI Unleased With Vector Database. Rahul Auradkar, Executive Vice President and General Manager of Salesforce Unified Data Services and Einstein Units, highlighted the efficiency gains in a one-on-one briefing with InformationWeek. Auradkar demonstrated the new capabilities through a live demo, showcasing the potential of the Data Cloud Vector Database. Enhanced Efficiency and Data Utilization The new Data Cloud integrates with the Einstein 1 platform, combining unstructured and structured data for rapid analysis by sales, marketing, and customer service teams. This integration significantly enhances the accuracy of Einstein Copilot, Salesforce’s enterprise conversational AI assistant. Gen AI Unleased With Vector Database Auradkar demonstrated how a customer service query could retrieve multiple relevant results within seconds. This process, which typically takes hours of manual effort, now leverages unstructured data, which makes up 90% of customer data, to deliver swift and accurate results. “This advancement allows our customers to harness the full potential of 90% of their enterprise data—unstructured data that has been underutilized or siloed—to drive use cases, AI, automation, and analytics experiences across both structured and unstructured data,” Auradkar explained. Comprehensive Data Management Using Salesforce’s Einstein 1 platform, Data Cloud enables users to ingest, store, unify, index, and perform semantic queries on unstructured data across all applications. This data encompasses diverse unstructured content from websites, social media platforms, and other sources, resulting in more accurate outcomes and insights. Auradkar emphasized, “This represents an order of magnitude improvement in productivity and customer satisfaction. For instance, a large shipping company with thousands of customer cases can now categorize and access necessary information far more efficiently.” Additional Announcements Salesforce also introduced several new AI and Data Cloud features: Auradkar noted that these innovations enhance Salesforce’s competitive edge by prioritizing flexibility and enabling customers to take control of their data. “We’ll continue on this journey,” Auradkar said. “Our future investments will focus on how this product evolves and scales. We’re building significant flexibility for our customers to use any model they choose, including any large language model.” For more insights and updates, visit Salesforce’s official announcements and stay tuned for further developments. 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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AI Outage

AI Outage

Unlike the recent mobile device network outage recently, where affected users were screaming fowl within minutes, AI experienced an outage today and you probably didn’t even know about it. AI Outage with three systems down simultaneously. Following a prolonged outage in the early morning hours, OpenAI’s ChatGPT chatbot experienced another disruption, but this time, it wasn’t alone. On Tuesday morning, both Anthropic’s Claude and Perplexity also encountered issues, albeit these were swiftly resolved compared to ChatGPT’s downtime. ChatGPT had seemingly recovered from what OpenAI described as a “major outage” earlier today, which hit millions of users worldwide. As of 3PM ET, the generative AI platform reported “All Systems Operational.” Reports indicate that Google’s Gemini was operational, although there were some user claims suggesting it might have briefly experienced downtime as well. The simultaneous outage of three major AI providers is uncommon and could suggest a broader infrastructure issue or a problem at an internet-scale level, akin to the outages affecting multiple social media platforms concurrently. Alternatively, the issues faced by Claude and Perplexity might have been a result of an overwhelming surge in traffic following ChatGPT’s outage, rather than inherent bugs or technical glitches. What has happened to all the AI platforms? An unknown glitch has affected the activity of most of the chatbots based on generative artificial intelligence (GenAI) on Tuesday, led by OpenAI’s ChatGPT and Google’s Gemini. What has happened to all the AI platforms? An unknown glitch has affected the activity of most of the chatbots based on generative artificial intelligence (GenAI) on Tuesday, led by OpenAI’s ChatGPT and Google’s Gemini. Although they have not yet reached the status of critical services such as a search engine, email or an instant messaging application, the scope of use of AI platforms is on a steady rise, for private use, work or studies. During ChatGPT’s outage, users were unable to message the AI chatbot from its landing page. The disruption began at approximately 7:33 AM PT and was resolved around 10:17 AM PT, marking another instance of multi-hour downtime. Like1 Related Posts 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 Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more

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Sales Prospecting Tools

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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Employ ChatGPT

50 Ways to Employ ChatGPT

You’ve likely heard of ChatGPT by now—a remarkably intelligent AI capable of understanding and communicating like a human. You can Employ ChatGPT. But did you realize just how adaptable this language model is? With the appropriate prompts, ChatGPT can swiftly assist you with a myriad of tasks. To my mind, ChatGPT is fully helpful right until you employ it to write about itself and it begins to brag. The anticipation is over, and this marks the beginning of the multitasking journey with ChatGPT. This AI can effortlessly handle these tasks in mere seconds with relatively straightforward prompts. We’re talking about a wide range of activities, from writing and editing to coding and marketing. The key lies in providing ChatGPT with clear, concise instructions upfront. Generative AI prompts are the most important factor to getting good results. Once you unlock that capability, a plethora of possibilities emerges for expediting your workflow. I’ve compiled 50 examples of tasks that ChatGPT can accomplish in seconds with the right prompts. Prepare to be amazed by the efficiency of this AI assistant! So, grab a cup of coffee and settle in as we hop into how this exceptional AI simplifies complex tasks effortlessly. The future is now, and it goes by the name of ChatGPT! 50 Tasks that ChatGPT Can Complete in Seconds with Simple Prompts: While ChatGPT cannot fully replicate human intelligence, it impresses with its conversational abilities, data analysis, content generation, and predictive capabilities. Just envision the evolution of this AI prodigy as researchers continue to enhance its skills! Examples of clear ChatGPT prompts. Writing/Editing Prompts: Research/Analysis Prompts: Creative Writing Prompts: Coding Prompts: Business/Marketing: There you have it — 50 ways ChatGPT can significantly simplify your life with just a few well-crafted prompts. The potential is virtually limitless when you can effectively communicate your needs to this highly capable AI. The things you can do with generative AI are mainly limited by the data your AI tool has access to. Remember with ChatGPT when it last had update to the world wide web. It cannot help you right about today’s events, but can assist with building historical context, for example. Whether it’s creative writing endeavors, coding challenges, marketing endeavors, or research tasks, ChatGPT is there to assist you, provided you know how to prompt it effectively. The key lies in delivering clear, straightforward, and precise instructions. You can employ ChatGPT to assist with many tasks. The key word is assist. You cannot employ ChatGPT to completely do your job for you. Experiment with prompts tailored to your specific requirements. Once you discover the right approach, you’ll be amazed by ChatGPT’s ability to accomplish tasks in a matter of seconds. One thing is certain—with ChatGPT handling the heavy lifting, humans are liberated to be more creative and concentrate on meaningful work. 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 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 Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more

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AI Data Foundation

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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Why Use Marketing Cloud Mobile Connect

Mobile Marketing Strategy

In today’s multitasking digital landscape, customers are constantly engaged in various activities like texting, searching with Google, browsing social media, and ordering lunch, all on the same screen. Their usage requires you to develop a Mobile Marketing Strategy. To effectively reach these customers, mobile marketing must seamlessly integrate into their current mobile experience. This requires a unified platform that aligns with their digital habits. According to the Insider Intelligence 2023 Research, email remains the most preferred communication method among customers, with a whopping 93% preference rate. However, customer preferences vary significantly across different channels, presenting a challenge for marketers who need to choose the right channels for each context. To deliver the best customer experience, marketers need to bring together multiple channels by adhering to changing data sources and evolving customer expectations. As data sources for targeting shift towards digital identities and declared preferences, marketers must adapt their strategies accordingly. Here are guiding principles for an effective mobile marketing strategy: Understanding Mobile Channels: Push Notifications: SMS Messaging: Chat Apps: Key Takeaways: 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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Salesforce Service Summer 24 Release Notes

Salesforce Service Summer 24 Release Notes

Check out new features that enable customer service agents to work faster and more productively across customer service channels. Salesforce Service Summer 24 Release Notes. 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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Paradox of Writing With AI

Paradox of Writing With AI

It seems like some people honestly believe they can spot AI-generated content immediately, but that’s not always the case. Well-written content isn’t inherently AI-generated, and if it is AI-generated, that doesn’t necessarily mean it’s well-written. The quality of writing often depends more on the writer’s skill than the tools they use. Paradox of Writing With AI is that it will make a good writer better. And it will make a bad writer worse. The real difference in human versus AI content lies in the accessibility of writing tools and the lack of proper ethical regulation for their use. This ease of access makes it simple for people to feel entitled to judge written content. True, if you publish your writing – online or elsewhere – you open it up for judgement. But imagine if UX design or data applications were graded as indiscriminately—those discussions would likely be confined to experts rather than becoming public debates on social media condemning all well-written content. Good writing requires creativity, flair, and uniqueness, among other skills, to truly impress readers. Good writing is well-organized and flows well with consistent style or voice from beginning to end. Good writing is also free from mistakes and errors in spelling, punctuation and grammar. But that alone doesn’t make it engaging or meaningful. A good writer will brainstorm for great ideas and follow them up with research. A good writer can think of fresh angles to view a topic. A good writer is sure to re-write and self-edit to make a better draft. AI has been integrated into various tools and applications long before ChatGPT was launched. Search engines use it to provide relevant results; social media algorithms keep your favorite content visible; Siri and Alexa rely on natural language processing and speech recognition; Netflix and Spotify use AI recommendation systems to cater to your tastes, and so on. AI enhances human ideas, not just in writing, but across many fields. Writing With AI is Inevitable For instance, Chinese Nobel laureate Mo Yan surprised everyone at the 65th-anniversary celebration of Shouhuo magazine by revealing he uses ChatGPT. During his speech praising fellow author Yu Hua, he mentioned that he struggled to write a commendation and asked a doctoral student to use ChatGPT for help. This revelation caused quite a stir, as it was unexpected for a Nobel Prize winner to use AI for writing. Why shouldn’t he? If AI makes a good writer better, then most of us should be employing it. Mo Yan isn’t alone. Rie Kudan, the 17th winner of Japan’s Akutagawa Prize, admitted to using ChatGPT for her novel, Tokyo-to Dojo-to. She stated that about 5% of the book consists of AI-generated sentences. Kudan, who is introverted, shared that frequent interactions with the AI tool allowed her to express personal thoughts she couldn’t comfortably discuss with others. ChatGPT’s responses often sparked dialogue in her novel, adding a unique dimension to her writing process. Grammarly, another AI tool, is why some people’s writing doesn’t reflect their irritation when discussing AI-generated content online. Grammarly has been widely used for editing and proofreading, ensuring users’ writing maintains a promotional tone and corrects errors without sounding sarcastic or bored. The Problem with Sounding Alike & The Uniqueness of a Writer’s Voice A significant issue with AI-generated content is that many written works sound similar. Writers need to develop unique voices. While Jane Austen, Mary Shelley, and the Brontë sisters are admirable, emulating their ornate language can interfere with communication’s primary purpose. Excessive fanciness can make speech overly flamboyant, akin to Oscar Wilde’s works. However asking AI to work through your content and put it in the voice of a known writer, add humor, or change the tense is time saving. The problem isn’t that AI enables people to produce well-crafted content. Many individuals have exceptional writing skills and huge vocabularies. The real issue is the uniformity in everyone’s writing, a lack of diversity that AI can perpetuate. Yet, you only have to Google any topic and you will find many blog posts and articles that share the same view, and perhaps the same voice. Some discussions about AI resemble early 2000s conspiracy theories about cell phones. While the context has changed, the tone remains similar. The Importance of Creativity in Writing & Our Language Creativity is essential in writing. Even AI relies on human creativity. Without our input, machines would repeatedly generate the same content. Machine learning in AI is about learning from people. Our role is crucial, demonstrating the value of our unique voices. Developing a unique voice takes time and effort, which is why creatives like Kelly McKernan, Nicki Minaj, Elin Hilderbrand, and Jonathan Franzen are suing AI companies for copyright infringement. These unique voices significantly impact language evolution, and it’s vital for us to continue growing creatively. Writers play a crucial role in language evolution by creating new words or phrases that captivate readers. Over time, these innovations can enrich the language. A writer’s distinctive style can set trends, leading to significant changes in language use. This power must be used wisely. Famous writers’ narrative structures and dialogue usage can inspire others. For example, Dr. Seuss coined “nerd,” J.R.R. Tolkien introduced “tween,” Milton created “pandemonium”, novelist William Gibson first used “cyberspace”, Johnathon Swift gave us “yahoo” in Gulliver’s Travels, and Charles Dickens gave us “boredom.” The core of a good piece of writing is a great idea. With a strong core idea, the writer can easily layer the content around it. Content even can build the framework from which comes a whole new word. Content includes interesting examples to which the reader can relate. That content needs to be well-organized and clear in form so that the reader can easily see the message or find the intended meaning. In addition, the writing should have style and the right voice that matches its topic and theme while also reflecting what the author believes.  Writing Through the Centuries Writing has evolved over centuries, influencing language development. During

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How AI is Raising the Stakes in Phishing Attacks

How AI is Raising the Stakes in Phishing Attacks

Cybercriminals are increasingly using advanced AI, including tools like ChatGPT, to execute highly convincing phishing campaigns that mimic legitimate communications with uncanny accuracy. As AI-powered phishing becomes more sophisticated, cybersecurity practitioners must adopt AI and machine learning defenses to stay ahead. What are AI-Powered Phishing Attacks? Phishing, a long-standing cybersecurity issue, has evolved from crude scams into refined attacks that can mimic trusted entities like Amazon, postal services, or colleagues. Leveraging social engineering, these scams trick people into clicking malicious links, downloading harmful files, or sharing sensitive information. However, AI is elevating this threat by making phishing attacks more convincing, timely, and challenging to detect. General Phishing Attacks Traditionally, phishing emails were often easy to spot due to grammatical errors or poor formatting. AI, however, eliminates these mistakes, creating messages that appear professionally written. Additionally, AI language models can gather real-time data from news and corporate sites, embedding relevant details that create urgency and heighten the attack’s credibility. AI chatbots can also generate business email compromise attacks or whaling campaigns at a massive scale, boosting both the volume and sophistication of these threats. Spear Phishing Spear phishing involves targeting specific individuals with highly customized messages based on data gathered from social media or data breaches. AI has supercharged this tactic, enabling attackers to craft convincing, personalized emails almost instantly. During a cybersecurity study, AI-generated phishing emails outperformed human-crafted ones in terms of convincing recipients to click on malicious links. With the help of large language models (LLMs), attackers can create hyper-personalized emails and even deepfake phone calls and videos. Vishing and Deepfakes Vishing, or voice phishing, is another tactic on the rise. Traditionally, attackers would impersonate someone like a company executive or trusted colleague over the phone. With AI, they can now create deepfake audio to mimic a specific person’s voice, making it even harder for victims to discern authenticity. For example, an employee may receive a voice message that sounds exactly like their CFO, urgently requesting a bank transfer. How to Defend Against AI-Driven Phishing Attacks As AI-driven phishing becomes more prevalent, organizations should adopt the following defense strategies: How AI Improves Phishing Defense AI can also bolster phishing defenses by analyzing threat patterns, personalizing training, and monitoring for suspicious activity. GenAI, for instance, can tailor training to individual users’ weaknesses, offer timely phishing simulations, and assess each person’s learning needs to enhance cybersecurity awareness. AI can also predict potential phishing trends based on data such as attack frequency across industries, geographical locations, and types of targets. These insights allow security teams to anticipate attacks and proactively adapt defenses. Preparing for AI-Enhanced Phishing Threats Businesses should evaluate their risk level and implement corresponding safeguards: AI, and particularly LLMs, are transforming phishing attacks, making them more dangerous and harder to detect. As digital footprints grow and personalized data becomes more accessible, phishing attacks will continue to evolve, including falsified voice and video messages that can trick even the most vigilant employees. By proactively integrating AI defenses, organizations can better protect against these advanced phishing threats. 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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Salesforce for Travel, Transportation, and Hospitality

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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Where Will AI Take Us?

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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