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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.

Trend Micro Unveils Vision One Platform with Powerful Gen AI Integration

Leading cybersecurity provider, Trend Micro Incorporated, has long been incorporating artificial intelligence (AI) into its technologies. However, it is now equipped with the capabilities of generative AI, marking a significant advancement in its offerings.

Today, Trend Micro has introduced its new Vision One platform, which brings together a range of cybersecurity capabilities, including extended detection and response (XDR), attack surface risk management (ASRM), and zero trust. This platform represents an evolution of the previously announced Trend Micro one platform in 2022, with the noteworthy addition of gen AI.

One notable feature of the Vision One platform is the gen AI-powered companion called Trend Vision One. This companion serves as an assistant for security operation center (SOC) analysts, enabling them to utilize natural language queries to obtain answers, facilitate threat hunting activities, and expedite remediation processes.

Kevin Simzer, COO of Trend Micro, expressed the company’s commitment to leveraging the power of gen AI within the security operation center. He emphasized the challenging nature of the SOC environment, where analysts are often overwhelmed with vast amounts of telemetry from diverse sources.

By harnessing the potential of gen AI, Trend Micro aims to alleviate the stress faced by SOC analysts and empower them with an intelligent assistant that can streamline their workflows. The integration of gen AI into the Vision One platform exemplifies Trend Micro’s dedication to delivering cutting-edge solutions that enhance cybersecurity operations and provide effective defense against emerging threats.

Why Gen AI is Good fit for the SOC

A lot of data and alerts are continuously flowing into the average SOC.

AI has long had a role in technology platforms from vendors including Trend Micro to help filter through all the noise and find patterns, anomalies and potential risks. What SOC analysts still have to do is understand what the data actually means and know the right commands, scripts and tools to get the desired result.

Simzer explained that the companion is an optional tool that organizations can choose to turn on as part of Trend Vision One. Part of an SOC analyst’s job is to perform threat hunting across the environment, looking for potential risks.

“Our companion capability will allow the SOC analyst to actually do threat hunting in a much more effective way,” Simzer siad. “The SOC analysts can input natural language and it will form the complex XDR queries that need to run.”

SOAR integration

XDR queries are an often complex set of command and scripting needed to search across all the data a cybersecurity platform collects to find matches for a given set of criteria and circumstances that could be indicative of a particular threat.

In recent years, SOCs have been increasingly integrating security orchestration, remediation and response (commonly known by the acronym SOAR) technologies in a bid to automate security. Simzer said that SOAR is also built into the Vision One platform and can potentially benefit from the gen AI companion.

Gen AI is also helping Trend Micro itself as it looks to optimize customer support. Simzer said that Trend Micro is using the technology to build out knowledge-based articles on how technologies work. He explained that Trend Micro’s customer support people are now using gen AI to help provide recommendations and answer user questions.

What’s under the hood? Microsoft Azure OpenAI

While Trend Micro has been developing its own AI capabilities as part of its portfolio for years, the new gen AI capabilities are powered by the Microsoft Azure OpenAI service.

“We’ve been using AI for over a decade; it’s not like we didn’t have data scientists, but there’s no question gen AI really fast forwards a ton of innovation and we jumped on it fairly quickly,” Simzer said. “We have plans down the road to actually have our own gen AI, but the immediate benefits of what we could get with OpenAI were just so real that we couldn’t pass it up.”

A key issue for any organization with gen AI is privacy, which is a high priority concern with cybersecurity information. Simzer said that Trend Micro has been very careful and diligent to ensure that customer data remains private.

“We’ve been training and tuning it and building the guardrails to make sure that none of our customer data is ever introduced into the Azure OpenAI environment,” he said. “We really wanted to be methodical and responsible about it.”

Oracle Corporation Expands into Generative AI Services

In a move to capitalize on the growing demand for generative AI services, Oracle Corp., renowned for its expertise in database technology, announced a strategic partnership with Toronto-based startup Cohere. The collaboration aims to develop a new cloud service that enables enterprise customers to create and train large language models (LLMs) using their private data while ensuring data privacy and security.

Oracle’s founder and chief technology officer, Larry Ellison, confirmed the partnership during the company’s recent earnings call, where he highlighted Oracle’s substantial growth in the cloud business. The longstanding relationship between Oracle and Cohere, along with Oracle’s participation in Cohere’s recent $270 million Series C funding round, has fueled speculation about this collaboration.

Ellison emphasized the vision behind the partnership, stating, “Cohere and Oracle are working together to make it very, very easy for enterprise customers to train their own specialized large language models while protecting the privacy of their training data. Over the next few years, lots of companies are going to train their own specialized large language models.”

As part of the collaboration, Oracle’s internal application development teams have already started utilizing the Cohere AI cloud service on the Oracle Cloud Infrastructure (OCI). The service leverages Oracle’s private data to fine-tune and expand existing Cohere LLMs. Notably, this supplementary training has resulted in the creation of two new specialized LLMs, catering to medical professionals and first responders, respectively.

With Oracle’s significant presence in the healthcare sector following its acquisition of healthcare giant Cerner in 2022, the company recognizes the potential of specialized large language models to enhance the productivity of highly trained professionals. Ellison emphasized the impact of these models, stating, “Specialized large language models will be instrumental in helping highly trained professionals use their precious time more efficiently.”

The collaboration between Oracle and Cohere signifies Oracle’s commitment to exploring new avenues within the enterprise cloud space and capitalizing on the potential of generative AI services. As the partnership progresses, enterprises can look forward to an easier and more secure way of training their own customized language models, tailored to their specific needs and domains.

Oracle is no stranger the World of AI

While the upcoming service with Cohere is new, Oracle is quite familiar with the world of AI. In fact, Ellison made sure to emphasize during the earnings call that Cohere is using Oracle Cloud for training LLMs.

Ellison said that Oracle has an edge over its competitors because it had more experience and expertise in handling large amounts of data securely and efficiently. Other vendors that have publicly revealed they use Oracle Cloud for training LLMs include Adept AI Labs, which raised $350 million in March for a generative AI service for using software. Oracle also has a cloud AI partnership with Nvidia, that involves Nvidia GPU hardware and Nvidia using the Oracle Cloud to help with ongoing AI development. All told, Ellison boasted that Oracle Cloud is already a multi-billion business for AI workloads.

“In the aggregate, our generative AI cloud customers have recently signed contracts to purchase more than $2 billion of capacity in Oracle’s Gen2 Cloud,” Ellison said.

While the numbers are large and growing, in the cloud business Oracle still trails behind the big three hyper-scalers which all have their own generative AI services. Amazon Web Services (AWS) announced its Bedrock generative AI services in April, Google has a host of its own services and models that were updated at its recent I/O conference, and Microsoft benefits from its tight partnership with OpenAI.

Microsoft Adds AI Voice Chat to Bing on Desktop

Microsoft has expanded its voice capabilities by introducing voice support for Bing Chat on desktop. Users can now interact with the search engine’s chatbot on Edge for PCs, utilizing OpenAI’s GPT-4 technology. This feature was initially available for Bing’s AI chatbot on mobile apps and has now been extended to desktop users. By simply tapping on the microphone icon in the Bing Chat box, users can engage in voice conversations with the AI-powered bot.

In its latest Bing preview release notes, Microsoft acknowledged the popularity of voice input for chat on mobile devices and highlighted the addition of voice support to the desktop version. Currently, the feature supports English, Japanese, French, German, and Mandarin, with plans to expand language support in the future. Users can now ask Bing questions verbally and receive text-to-speech responses from the chatbot, which can also answer questions using its own voice. For instance, Microsoft suggested asking Bing Chat, “What’s the toughest tongue twister you know?” and receiving a spoken response.

The introduction of voice support for Bing Chat on desktop comes shortly after Microsoft’s announcement about discontinuing the standalone Cortana app for Windows, which functions as a voice assistant. Microsoft emphasized that users will still have access to powerful AI capabilities in Windows and Edge, mentioning Bing Chat and Microsoft 365 Copilot as examples. Bing Chat, combined with AI capabilities, provides users with voice interaction and productivity features, while Microsoft 365 Copilot utilizes artificial intelligence to generate content within the company’s applications.

With voice support now available on Bing Chat for desktop, users can enjoy a more interactive and convenient search experience, enabling them to converse with the AI chatbot using voice input and receive spoken responses.

PhotoRoom and Google Cloud: Democratizing AI Photo Editing

AI-driven photo editing app, PhotoRoom, has entered into a partnership with Google Cloud to leverage Google Cloud’s A3 instances, powered by Nvidia GPUs, and their expertise in scaling large AI models. This collaboration aims to bring high-quality image editing capabilities to a wider range of businesses through generative AI. By utilizing Google Cloud’s support, PhotoRoom expects to significantly accelerate its content delivery process.

With the newly integrated generative AI capabilities, PhotoRoom claims to reduce the time required to produce photography content to under an hour, while ensuring exceptional accuracy and quality. This advancement will have a substantial impact on small businesses (SMBs) and entrepreneurs, as it improves speed and scalability, thereby reducing the time and costs involved in creating and editing commercial photography.

Matthieu Rouif, co-founder and CEO of PhotoRoom, explained the benefits of generative AI for SMBs, stating, “By leveraging generative AI, we aim to benefit small businesses by enabling them to generate high-quality product photos quickly and affordably. Our AI model allows users to create entire scenes around a product, all based on a single smartphone photo. This process reduces the need for studio photography, which would cost thousands of dollars for small businesses.”

This partnership builds upon PhotoRoom’s recent introduction of its Instant Backgrounds and Instant Shadows features, both powered by AI technology, designed to enhance product shots. By democratizing the use of generative AI, PhotoRoom aims to empower small and medium-sized businesses with cutting-edge technologies, enabling them to compete in the digital space.

Through the collaboration between PhotoRoom and Google Cloud, businesses of all sizes can harness the power of AI-driven photo editing, enabling them to create high-quality visual content efficiently and affordably. The democratization of generative AI in the realm of photography holds tremendous potential for transforming the way businesses approach their visual marketing strategies.

Using AI in PhotoRoom to Enhance Photo Editing Speed

PhotoRoom’s Rouif said that the company incorporated a trained diffusion AI model into its platform to generate images specifically for ecommerce and product photography. The integration of Google’s computing power and memory capacity now enables the application to achieve swifter, more precise and more scalable image creation.

“For small businesses, time is money, and PhotoRoom is 10 times faster than other generative solutions: generating AI images in one second, compared to 15 seconds on average for Midjourney and DALL-E,” Rouif told VentureBeat. “The efficient scaling offered by Google Cloud’s infrastructure enables us to handle an increasing volume of images worldwide without compromising service quality or performance.”

Moreover, PhotoRoom asserts that its Remove Background feature is 30% more accurate than top photo editing alternatives.

“Once the background is removed, small businesses and entrepreneurs require a realistic background to showcase their product — PhotoRoom’s generative AI technology solves this problem by building instant backgrounds and shadows, which help them create content and lifestyle photography,” added Rouif.

The company stated that it currently processes two billion images annually. Collaborating with Google to scale its GPU infrastructure will enable the company to rapidly enhance and broaden its generative AI product offerings.

“This partnership will help us provide a stable and dependable solution to accommodate the increasing adoption of generative AI in the ecommerce industry,” said Rouif. “Google Cloud’s long-term focus on AI and infrastructure investments and open ecosystem aligns well with PhotoRoom’s vision of making high-quality product photography accessible to all.”