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The Impact of Generative AI on Coding: Enhancing Efficiency and Problem-Solving

Generative AI has captivated the public’s imagination and ignited a tech gold rush. While AI tools that generate natural language prose and visual art have garnered significant attention, the coding capabilities of AI are increasingly intriguing tech professionals. By simply describing a desired program to an AI chatbot, developers can receive executable code within seconds. This advancement both fascinates and unsettles programmers, but the reality is that machines are unlikely to replace human coders anytime soon. We interviewed programmers who utilize generative AI in their work to understand how it is transforming their workflow, uncovering valuable insights about the benefits and limitations of AI in coding.

The Power of AI in Assisting Coders:

Among the generative AI tools frequently employed by developers, ChatGPT from OpenAI and GitHub Copilot, integrated with popular IDEs like Visual Studio, stood out. While both tools generate code based on natural language queries, Copilot and its experimental successor, Copilot X, go beyond conversational models by acting as advanced IDE autocompletes that anticipate developers’ intentions.

Vanessa Freudenberg, co-founder and chief architect at Croquet.io, uses GitHub Copilot in conjunction with Visual Studio Code for her daily coding. She explains the practical workings of the tool.

If I write the line:


    let x = this.leftMargin + this.width / 2;

it will automatically suggest the next line:


    let y = this.topMargin + this.height / 2;

And it knows that it needs to replace “width” and “left” with “height” and “top”. That saves me a lot of typing.

Panickos Neophytou, co-founder and CTO at NetBeez, utilizes Copilot X and ChatGPT extensively in his coding process. He employs two distinct approaches to leverage these tools beyond simple autocompletion. The first approach is systematic, where he provides a detailed description of a well-defined function, including specific inputs, expected outputs, and relevant data models. The AI can infer associations, and Neophytou instructs it to implement the function in a specific language and manner. He suggests defining project management tasks as such prompts.

Additionally, Neophytou finds a more conversational technique effective. While working on a task, he poses questions that arise in his mind, simulating the experience of having an experienced engineer by his side, answering queries and guiding him toward completion.

Mastering the art of prompting the AI correctly is crucial, regardless of the technique employed. Shanea Leven, founder and CEO of software provider CodeSee, highlights the importance of chain-of-thought prompting to ensure precise verb selection and prompt refinement. Prompt engineering is emerging as a significant discipline for this reason.

AI’s Coding Strengths:

Developers shared various use cases where AI tools have proven valuable in their work. Some notable examples include:

Solutions to solved problems: Programming often involves reinventing the wheel, which can be frustrating. Jeff Wills, engineering practice lead at Rise8, views this as a prime area for AI assistance. For instance, when Wills creates a method to calculate the distance between two points on a sphere, Copilot can automatically find and generate the Haversine algorithm, eliminating the need for redundant coding.
Updating or cleaning up code: Chris Love of Love2Dev finds ChatGPT particularly useful for updating his existing code. He describes scenarios where he converts older promise-based functions to use the cleaner syntax of async/await or adopts modern syntaxes like destructuring and updated variable declarations.
Potentially faster coding: Many developers perceive that working with Copilot or ChatGPT enables them to work more efficiently, although quantifying the exact impact is challenging. Love believes these tools help him write better code a little faster, while Wills feels they enable him to iterate through potential solutions more swiftly, which enhances the quality of his work.

Conclusion: Generative AI is revolutionizing coding practices by empowering developers with tools like ChatGPT and GitHub Copilot. Programmers are benefitting from AI assistance in solving problems, updating code, and potentially working more efficiently. However, while AI enhances productivity and problem-solving, it is not poised to replace human coders in the near future. The ongoing integration of AI into the software industry promises to reshape workflows and augment the capabilities of human developers, leading to a new era of coding possibilities.

Revolutionizing Customer Engagement and Retention: The Impact of New AI Tools

In today’s highly competitive business landscape, customer engagement and retention have become critical factors for success. Enterprises are constantly exploring innovative ways to attract and retain customers, and one technology that has gained significant attention is artificial intelligence (AI). The advent of new AI tools has revolutionized the way businesses interact with customers, providing unprecedented opportunities for personalized experiences and enhanced customer satisfaction. In this article, we will explore how these new AI tools are transforming customer engagement and retention strategies.

Personalized Customer Experiences:

AI tools have the capability to analyze vast amounts of customer data, including preferences, behaviors, and purchase history, allowing businesses to create highly personalized experiences. By leveraging machine learning algorithms, AI can identify patterns and trends, enabling companies to deliver tailored recommendations, offers, and content. This level of personalization enhances customer engagement, as individuals feel understood and valued by the brand, leading to increased customer satisfaction and loyalty.

Intelligent Chatbots and Virtual Assistants:

AI-powered chatbots eg: ChatGPT and virtual assistants have significantly improved customer engagement and retention by providing quick and efficient support. These tools can understand and respond to customer queries in real-time, offering personalized assistance and resolving issues promptly. Advanced natural language processing capabilities enable chatbots to handle complex interactions, simulating human-like conversations. By reducing response times and improving the overall customer service experience, AI-driven chatbots contribute to higher customer satisfaction and retention rates.

Predictive Analytics for Customer Behavior:

AI tools equipped with predictive analytics capabilities can forecast customer behavior, allowing businesses to anticipate their needs and preferences. By analyzing historical data, AI algorithms can identify potential churn risks, enabling proactive retention strategies. Companies can leverage this knowledge to implement targeted marketing campaigns, loyalty programs, or personalized offers, tailored to individual customers. The ability to predict customer behavior empowers businesses to take proactive measures, resulting in improved customer engagement and increased retention rates.

Sentiment Analysis and Social Listening:

With the proliferation of social media and online review platforms, businesses must stay attuned to customer sentiment. AI tools equipped with sentiment analysis and social listening capabilities can monitor and analyze customer feedback in real-time. By gauging customer emotions and opinions, companies can swiftly address concerns or negative experiences, demonstrating their commitment to customer satisfaction. This proactive approach not only improves customer engagement but also helps in retaining dissatisfied customers by promptly resolving their issues.

Automated Customer Journey Optimization:

AI tools can optimize the customer journey by automating various touchpoints and streamlining processes. Through machine learning algorithms, businesses can analyze customer interactions across multiple channels and identify bottlenecks or areas for improvement. By automating repetitive tasks, such as order processing or appointment scheduling, AI tools free up resources for more meaningful customer engagement. This streamlined and efficient customer journey contributes to better customer experiences, ultimately increasing customer loyalty and retention.

Conclusion: The emergence of new AI tools has revolutionized customer engagement and retention strategies, offering businesses unprecedented opportunities to provide personalized experiences, improve customer service, and optimize the customer journey. By leveraging AI-powered technologies such as personalized recommendations, intelligent chatbots, predictive analytics, sentiment analysis, and automated customer journey optimization, enterprises can enhance customer satisfaction, increase loyalty, and drive long-term growth. As AI continues to evolve, businesses that embrace these transformative tools will gain a competitive edge in the ever-changing customer-centric marketplace.

AI’s Impact on Cost Savings, Productivity, and Jobs: A Revolutionary Force

Artificial Intelligence (AI) has emerged as a revolutionary force that is transforming various aspects of our lives, including cost savings, productivity, and jobs. With its ability to process and analyze vast amounts of data at unprecedented speed, AI is reshaping industries and driving innovation in ways that were previously unimaginable. This article explores the profound impact of AI on cost savings, productivity, and jobs, delving into both the benefits and challenges it presents.

Cost Savings:

One of the most significant impacts of AI is its ability to generate substantial cost savings for businesses across different sectors. By automating routine and repetitive tasks, AI technology enables companies to streamline their operations, reduce labor costs, and optimize resource allocation. AI-powered systems can perform tasks with greater efficiency, accuracy, and consistency compared to humans, leading to improved cost-effectiveness.

AI-powered solutions also enhance cost savings through predictive analytics. By analyzing vast amounts of data, AI algorithms can identify patterns, detect anomalies, and make data-driven predictions. This enables businesses to optimize their supply chain management, inventory control, and production processes, minimizing waste and maximizing efficiency. As a result, companies can achieve significant cost reductions while maintaining or improving the quality of their products and services.

Productivity Boost:

AI is a game-changer when it comes to boosting productivity. By automating mundane and time-consuming tasks, AI frees up human resources to focus on higher-value activities that require creativity, critical thinking, and problem-solving skills. This not only enhances individual productivity but also leads to overall organizational efficiency.

AI-powered tools and systems can handle data analysis, customer support, document processing, and other repetitive tasks with exceptional speed and accuracy. This enables employees to shift their attention to more complex and strategic endeavors that contribute to innovation and growth. By augmenting human capabilities, AI empowers workers to achieve more in less time, accelerating productivity gains across industries.

Job Transformations:

While AI brings numerous benefits, concerns about job displacement have been raised. It is true that AI technologies can automate certain tasks previously performed by humans, leading to workforce restructuring and job transformations. However, history has shown that technological advancements often create new job opportunities that were not previously envisioned.

AI’s impact on jobs can be categorized into three main scenarios: job replacement, job enhancement, and job creation. Some routine and repetitive tasks may be automated, leading to the displacement of certain job roles. However, this also paves the way for job enhancement, as employees can focus on higher-value tasks that require human ingenuity and emotional intelligence. Additionally, AI-driven innovations frequently create new job roles that involve developing, implementing, and maintaining AI systems.

Furthermore, AI is driving the emergence of entirely new industries and business models. The demand for AI specialists, data scientists, and AI consultants has soared, offering new employment opportunities. Moreover, as AI technology continues to advance, it will create a ripple effect, leading to the development of new products, services, and industries, thus generating additional jobs.

Conclusion:

Artificial Intelligence is transforming the business landscape, revolutionizing cost savings, productivity, and jobs. The ability of AI to automate repetitive tasks, optimize processes, and provide data-driven insights offers immense cost savings for businesses across various sectors. Additionally, by augmenting human capabilities and streamlining operations, AI significantly boosts productivity.

While concerns about job displacement exist, AI also presents opportunities for job enhancement and creation. Rather than replacing humans, AI technology empowers workers to focus on higher-value tasks that require uniquely human skills. Moreover, the rise of AI has created new job roles and opened up entirely new industries.

To fully harness the potential of AI, it is crucial for businesses, governments, and individuals to adapt and embrace this transformative technology. By leveraging AI’s capabilities effectively, we can unlock unprecedented cost savings, achieve new levels of productivity, and create a future where humans and AI work in tandem to drive innovation and prosperity.

OpenAI Announces General Availability of GPT-4

OpenAI has made an exciting announcement today, revealing the general availability of GPT-4, its latest text-generation model, via the OpenAI API. Existing OpenAI API developers with a successful payment history can access GPT-4 starting immediately. OpenAI plans to gradually expand access to new developers by the end of this month, and availability limits will be adjusted based on compute availability.

Since March, millions of developers have eagerly requested access to the GPT-4 API, and OpenAI is witnessing a growing range of innovative products leveraging the power of GPT-4. OpenAI envisions a future where chat-based models can support any use case.

Compared to its predecessor, GPT-3.5, GPT-4 offers notable improvements. It can generate text, including code, and accepts both image and text inputs. GPT-4 performs at a “human level” on various professional and academic benchmarks. The training data for GPT-4 includes publicly available information from web pages, as well as licensed data obtained by OpenAI.

However, the image-understanding capability of GPT-4 is currently limited to a single partner, Be My Eyes, as OpenAI conducts testing. OpenAI has not disclosed when this functionality will be made available to a wider customer base.

It’s important to note that, like any generative AI model, GPT-4 is not perfect. It may occasionally “hallucinate” facts and make reasoning errors, sometimes with unwarranted confidence. It also lacks the ability to learn from experience, making it prone to failures in complex tasks such as introducing security vulnerabilities in generated code.

OpenAI plans to introduce the capability for developers to fine-tune GPT-4 and GPT-3.5 Turbo, another recent text-generation model, with their own data, as has been possible with previous OpenAI models. This feature is expected to be available later this year.

The competition in generative AI has been intensifying since the unveiling of GPT-4 in March. Anthropic, for instance, expanded the context window of its text-generating model Claude from 9,000 tokens to 100,000 tokens. Context window refers to the amount of text considered by the model before generating additional text, while tokens represent units of raw text. GPT-4 previously held the record for a context window, offering up to 32,000 tokens. Models with smaller context windows tend to forget the content of recent conversations, leading to a loss of coherence.

In a related announcement, OpenAI also made its DALL-E 2 image-generating model and Whisper speech-to-text model APIs generally available. OpenAI plans to deprecate older models in its API to optimize compute capacity. Starting from January 4, 2024, GPT-3 and its derivatives will no longer be accessible. They will be replaced by new “base GPT-3” models, which are expected to be more computationally efficient. Developers currently using the older models will need to manually upgrade their integrations by January 4. Those interested in continuing to use fine-tuned old models beyond that date will have to fine-tune replacements based on the new base GPT-3 models. OpenAI will provide support to users to ensure a smooth transition and will reach out to developers who have recently used the older models with further instructions and information about testing the new completio

How New AI Tools Can Transform Human Productivity in the Enterprise

How new AI tools can transform human productivity in the enterprise, unlocking new levels of efficiency, automation, and decision-making capabilities. Enterprises are constantly seeking innovative ways to enhance productivity and efficiency. The advent of artificial intelligence (AI) has brought forth a new era of tools and technologies that have the potential to revolutionize productivity in the workplace.

Streamlining Routine Tasks

One of the primary ways AI tools can boost productivity is by automating routine tasks. With the power of machine learning and natural language processing, AI algorithms can learn to perform repetitive tasks with precision and accuracy. This allows employees to focus their time and energy on more complex and strategic activities, thereby increasing overall productivity.

Enhanced Decision-Making

AI tools are equipped with advanced data analytics capabilities, enabling them to process vast amounts of information quickly and accurately. This empowers employees to make data-driven decisions and eliminates guesswork. By providing valuable insights and recommendations, AI tools enable faster and more informed decision-making, leading to improved productivity and better business outcomes.

Intelligent Customer Support

AI-powered chatbots and virtual assistants have revolutionized customer support in the enterprise. These tools can efficiently handle customer queries, provide instant responses, and even guide users through complex processes. By reducing response times and enhancing customer experiences, AI tools improve productivity within customer support departments, allowing human agents to focus on more complex or specialized customer needs.

Personalized Workflows

AI tools have the ability to learn and adapt to individual work patterns, preferences, and habits. By analyzing employee behavior, AI algorithms can optimize workflows and suggest personalized approaches for enhanced productivity. This level of personalization ensures that each employee’s work environment is tailored to their needs, ultimately maximizing their efficiency and output.

Advanced Data Analysis

Enterprises deal with massive volumes of data daily, making it crucial to derive actionable insights from this information. AI tools can process and analyze vast datasets at incredible speeds, identifying patterns, trends, and correlations that might be missed by human analysts. By automating data analysis, AI tools save time, minimize errors, and enable employees to make data-driven decisions more efficiently.

Collaborative Workforce

AI tools facilitate collaboration among teams by providing shared workspaces, project management solutions, and real-time communication platforms. By enabling seamless collaboration and knowledge sharing, these tools enhance teamwork and productivity across the enterprise. Employees can collaborate more effectively, share ideas, and work together on projects, resulting in improved overall productivity.

Conclusion: The emergence of new AI tools has brought immense potential for transforming human productivity in the enterprise. From automating routine tasks to enabling data-driven decision-making and fostering collaboration, AI tools offer a range of benefits. By harnessing the power of AI, enterprises can unlock new levels of efficiency, streamline operations, and achieve higher productivity across various departments. Embracing these innovative technologies is not only an investment in productivity but also a strategic move to stay competitive in today’s rapidly evolving business landscape.

ChatGPT Creator OpenAI Slammed with 157-Page Lawsuit

A surge in artificial intelligence users and accelerating technology advances have made it imperative to improve cyber regulations and policies worldwide.

Ahead of the upcoming AI Summit in London, the new technology has been creating a frenzy in the tech world, with many leaders expressing cause for concern about its rapid progress.

In recent developments, a group of anonymous individuals is suing ChatGPT creator OpenAI for allegedly stealing a substantial amount of private information. The data was discreetly stolen to improve AI models “in a heedless hunt for profit.”

Theft lawsuit

According to Bloomberg the 157-page lawsuit states that OpenAI violated privacy laws by secretly scraping 300 billion words from the internet, tapping “books, articles, websites, and posts — including personal information obtained without consent”.

Journalists, Teresa Xie and Isaiah Poritz add that the lawsuit doesn’t shy away from sweeping language, accusing the company of risking “civilizational collapse.”

While one of the defendants was Microsoft Corp, who reportedly is planning to invest $13bn in OpenAI, the plaintiffs remain anonymous due to fear of backlash and are identified only by their initials.

The lawsuit was filed by Clarkson Law Firm on Wednesday in a federal court in San Francisco. The firm cited $3bn in potential damages overall, deduced by estimating damages caused to individuals which are in the millions.

The plaintiffs said, “Despite established protocols for the purchase and use of personal information, defendants took a different approach: theft.”

One of the popular models of OpenAI, ChatGPT along with other models are seemingly trained to take the private information of users – “including children, without their permission,” said Bloomberg.

Millions compromised

The lawsuit also accuses the leading AI firm of operating a massive clandestine web-scraping operation in violation of terms of service agreements and state and federal privacy and property laws, in particular the Computer Fraud and Abuse Act.

Other violations include larceny, unjust enrichment and violations of the Electronic Communications Privacy Act.

While addressing the details of the offenses, the complainants said, “Misappropriating personal data on a vast scale to win an ‘AI arms race’, OpenAI illegally accesses private information from individuals’ interactions with its products and from applications that have integrated ChatGPT.”

Access to the private data of millions of users allowed the company to accumulate image and location information from the social media application Snapchat, music preferences on Spotify, financial information from Stripe, and private conversations on Slack and Microsoft Teams.

By abandoning its foremost principle of developing artificial intelligence in a way that benefits humanity as a whole, the company’s path changed to chasing profits, the plaintiffs argue.

In May, Forbes reported that Twitter CEO Elon Musk and Apple co-founder Steve Wozniak signed a letter in March, alongside politician Andrew Yang, Skype cofounder Jaan Tallinn, Pinterest cofounder Evan Sharp and Ripple cofounder Chris Larson, urging AI labs to “immediately pause” work to slow down an “out-of-control race” to develop the technology.

Sam Altman, OpenAI CEO later that month told ABC News that his company was “a little bit scared” over AI’s potential, but added that it “will be the greatest technology humanity has yet developed.”

The suit asserts that ChatGPT’s expected revenue for 2023 is $200m.

Vimeo Unveils AI-Powered Tools to Enhance Video Creation and Editing

Vimeo, the renowned video hosting and sharing platform, is taking a significant leap into the realm of artificial intelligence (AI). This week, the company introduced a suite of AI-powered tools aimed at assisting users in script creation, recording footage using a built-in teleprompter, and eliminating unwanted disfluencies like “ahs” and “ums” from recordings. These innovative features will be accessible starting July as part of Vimeo’s Standard plan, priced at $20 per month (billed annually).

Ashraf Alkarmi, the Chief Product Officer of Vimeo, expressed that these new capabilities are specifically designed for entry-level video creators, including CEOs, employees, and social media managers. This target audience often lacks the necessary skills, time, and resources to achieve their desired video effects.

According to internal research conducted by Vimeo, 50% of its customers resort to multiple takes when creating videos, and among those who reshoot, 25% redo the recording more than five times. Alkarmi noted that despite video production being an effective medium for conveying powerful messages, it inherently presents barriers to effective communication. The latest AI-powered workflow from Vimeo aims to diminish these barriers, enabling any creator to confidently produce videos in a single take.

Vimeo’s new script generator utilizes generative AI, particularly the OpenAI API, to create a video script based on a brief description and key inputs such as tone (e.g., “confident,” “inspiring,” or “casual”) and desired length. The teleprompter tool offers a customizable script display with options for different font sizes and pacing. Additionally, the text-based video editor automatically detects and removes filler words and awkward pauses.

Alkarmi envisions these tools being used to quickly create highlight reels, host virtual events or company meetings, and export quote clips for short marketing videos. He emphasized that while Vimeo is often mistaken as solely an entertainment hub, the company has evolved significantly over the years. Their goal is to enable businesses to utilize video as a powerful means of communication, just like they employ text or images.

The adoption of AI to achieve these goals aligns with the current trend. However, Alkarmi highlighted that Vimeo has been investing in AI for some time. In 2019, the company acquired Magisto, a developer of AI technology for video editing. Vimeo built its Create tool on the foundation of Magisto’s infrastructure, enabling users to create videos by combining stock photos, videos, and personal archives.

Alkarmi emphasized that AI will remain a central focus for Vimeo in the future, considering the competitive landscape. Several startups, including Capsule, Descript, and Dumme, offer AI-powered video editing tools. Established players like Adobe, similar to Vimeo, recognize AI as a crucial ingredient for the future of video editing workflows.

“We are just beginning to explore the potential of AI for organizations and individuals,” said Alkarmi. “I envision a future where AI knowledge is a prerequisite, not a luxury, for video production.” He further stated that AI is a priority for him and his product team due to its ability to address customer challenges, rather than being driven solely by technological trends. Vimeo users can expect more innovative products like this as the company strives to seamlessly incorporate AI into their suite of offerings, simplifying video production and enhancing end-to-end user experiences.

Although publicly traded Vimeo experienced a challenging start to the year, which resulted in an 11% reduction in its workforce, the platform’s renewed focus on AI investments appears to be yielding positive results. In the latest earnings report released in May, the company surpassed expectations by reporting approximately $103.58 million in revenue, exceeding the consensus estimate of $103.

Dropbox Launches $50 Million Ventures Fund to Support AI Startups

In a recent announcement, Dropbox has unveiled its latest initiative called Dropbox Ventures, a venture fund with a budget of $50 million aimed at supporting startups operating in the field of artificial intelligence (AI). Alongside providing financial support, the new venture arm of Dropbox aims to offer mentorship to help these startups develop AI-powered products that will shape the future of work, according to a press release from the company.

Venture capital firms have been progressively increasing their investments in AI over the past few years, with a particular surge in interest driven by the advancements in generative AI. In the last year alone, AI startups secured more than $52 billion in funding across over 3,300 deals, as reported by GlobalData.

Many of these funds come from corporate initiatives, exemplified by Salesforce Ventures, the venture capital division of Salesforce, which has plans to invest $500 million in startups focused on developing generative AI technologies. Workday has also recently allocated an additional $250 million to its existing venture capital fund specifically for backing AI and machine learning startups. Additionally, OpenAI, the organization behind the popular chatbot ChatGPT, has raised a fund of $175 million to invest in AI startups.

As part of its commitment to advancing AI, Dropbox has introduced new AI-powered features into its flagship cloud storage product. One such feature is Dropbox Dash, a versatile search bar that can search through tools, content, and apps from various third-party platforms, including Google Workspace, Microsoft Outlook, Salesforce, and Notion. Dash is designed to assist users in finding and organizing different types of content, with the capability to improve and evolve through usage. In the future, Dash aims to utilize generative AI to provide answers and surface relevant content by drawing information from both personal and company data.

Additionally, Dash can create collections called Stacks for storing and retrieving URLs, enhancing organization and productivity. Stacks are accessible through the new Start Page, which also features shortcuts to recently accessed work within Dropbox and the Dash search bar.

Dropbox’s other AI innovation is Dropbox AI, which utilizes AI algorithms to summarize and extract information from files stored in Dropbox accounts. It can generate summaries from documents and provide video previews. Moreover, Dropbox AI functions in a chatbot-like manner, drawing insights from research papers, contracts, meeting recordings, and more, to answer user questions.

Currently, Dropbox AI is compatible with file previews, but there are plans to expand its functionality to encompass folders and entire Dropbox accounts.

Given the potential concerns about the accuracy of AI-generated summaries, Dropbox has emphasized its commitment to developing AI technologies that are fair, reliable, and privacy-conscious. While corporate commitments may not carry the same weight as independent audits, Dropbox has expressed its dedication to transparency and minimizing bias in their AI systems.

Dropbox Dash is currently available in English as a beta version for select customers. Dropbox AI for file previews is in an alpha phase and is accessible to all Dropbox Pro customers in the United States, with plans for a subsequent rollout to select Dropbox Teams.

Otter is Introducing a Meeting-Oriented AI Chatbot

Today, automatic transcription service Otter announced the launch of its new AI-powered chatbot. Designed to facilitate seamless collaboration among meeting participants, the Otter AI Chatbot enables users to ask questions during and after meetings, helping them catch up and interact effectively with their teammates.

The Otter AI Chatbot offers various functionalities, such as providing meeting updates for latecomers with questions like “I’m late to the meeting! What did I miss?” It can also generate follow-up emails containing action points once the meeting concludes. This chatbot leverages contextual understanding to offer relevant answers based on the meeting discussions.

In March, Zoom introduced a similar feature to provide meeting summaries for users who join late.

Unlike chatbots like ChatGPT that focus on one-on-one conversations, Otter’s bot can cater to multiple individuals. Teammates can tag each other for clarification or assign action items, enhancing collaboration. Previously, Otter facilitated this through comments on the transcription.

Although Otter mentions transcribing over 1 million spoken words per minute, it does not specify if the Otter AI Chatbot was trained on that data.

The company plans to roll out the Otter AI Chat feature to all users in the coming days and assures that AI chat data will not be shared with third parties.

In February, Otter launched the OtterPilot bot, which automatically emailed meeting summaries to participants. Additionally, the bot included images of important slides within the meeting notes and transcription. With the introduction of Otter AI Chat, the company aims to provide an added layer of intelligence to its existing AI-powered note-taking feature, enabling users to ask more complex questions.

The incorporation of AI-generated meeting notes and summaries in various formats has become a common feature in meeting-related tools, thanks to advancements in Large Language Models (LLMs). Meeting companies are continually striving to enhance their offerings, leveraging chatbots that utilize meeting data to provide valuable insights.

Mosyle Introduces Generative AI to Apple Mobile Device Management

While Apple itself may not have directly integrated generative AI into its hardware platform, other vendors are stepping up to fill the gap. Today, mobile device management (MDM) vendor Mosyle announced an innovative approach that leverages generative AI to enhance the management, security, and compliance capabilities of Apple macOS-powered hardware. This exciting development is part of an update to the Mosyle Apple Unified Platform, which was made widely available in May 2022, coinciding with a remarkable $196 million funding round secured by the company. By combining MDM with endpoint security, the Mosyle Apple Unified Platform empowers organizations to seamlessly deploy and manage their Apple devices.

Traditionally, enterprise administrators heavily rely on complex scripts to manage Apple devices, enabling them to identify specific usage patterns and deployment characteristics for individual devices. For instance, a script could be designed to detect encounters with a particular WiFi access point. Until now, script creation has been primarily the domain of experts. However, the landscape is rapidly changing, largely due to the game-changing capabilities of generative AI.

Mosyle CEO Alcyr Araujo explained in an exclusive interview with VentureBeat, “The idea here is really to help customers have access to that very specific layer of Mac management that is scripting. We see Mac admins reach the highest level when they can really take advantage of scripting, where they can basically automate anything on the fleet.”

With Mosyle’s new generative AI integration, Apple device administrators gain unprecedented ease and efficiency in managing their fleets, enabling automation of various tasks that were previously arduous and time-consuming. The breakthrough technology heralds a new era in Apple device management, empowering organizations to harness the full potential of their macOS-powered hardware while ensuring streamlined operations and enhanced security.

How Mosyle AI Script automates Apple management

The path toward generative AI for Mosyle was not a straight line.

Araujo explained that his team had been working on developing a script catalog, to help make it easier for users to find and select the right scripts to automate MDM functions. Not coincidentally, Mosyle Script Catalog is a new feature that is also part of the company’s latest platform update.

Then ChatGPT happened in late 2022 and every technology vendor (and nearly every user) was suddenly aware of the power of generative AI. Araujo recounted that he started testing gen AI with ChatGPT tooling for Mosyle’s own internal needs first, to potentially make support more efficient by finding answers quicker.

In addition to being the CEO of Mosyle, Araujo is the company’s IT administrator. One day he was looking to create a specific script that was needed for macOS. That need led to the revelation that by combining gen AI with the script catalog project, a user could use natural language queries to rapidly find, or even create, a script to execute a specific task.

OpenAI is under the hood, with more generative AI support to come

The first release of Mosyle AIscript relies on OpenAI’s GPT models. But Araujo emphasized that his goal is to have an open approach, where multiple large language models (LLMs) for gen AI could be chosen.

Mosyle isn’t simply connecting OpenAI’s API to its own MDM technology. Araujo explained that numerous steps taken on the Mosyle side help ensure privacy of user data as well as accuracy of the generated script output.

Araujo explained that with Mosyle AIScript, the system first attempts to understand what a user query for a script really means. If needed, Mosyle then adds elements to better define the script to get the desired output. On top of that, Mosyle validates the generated script to make sure that it will run as expected on Apple hardware.

“There is a lot of polishing there in terms of making sure we’re guiding the requests in the correct way and understanding the result before showing it to the customer,” he said.