PhotoShelter's rigorous AI authenticity standards pave the way for content transparency in DAM

Today, PhotoShelter, the premier digital asset management (DAM) and content distribution platform for growing brands, is publicly announcing the launch of its AI Ethics Board alongside new membership in the Content Authenticity Initiative (CAI).

AI is becoming increasingly prevalent in everyday life, business, government, and more. However, as market demand increases and technology progresses, the innovation conversation too often precedes the ethics conversation. When ethical principles are not embedded into AI applications from training models to data usage authentic human creatives absorb the impact.

The Ethics Board will serve as PhotoShelter's trusted advisor in advancing responsible AI based on a rigorous set of standards rooted in transparency and accountability. As a part of its commitment, the Ethics Board will guide the company's decision-making on its own products for creative professionals, including:

• Knowledge of and appropriate rights for the content in datasets PhotoShelter uses to build AI models
• Proactive identification of AI-generated content and AI-backed metadata in user interfaces with permission to disable
• Safeguards against harm and biases in any AI features built through active evaluation, testing and mitigation
• Adherence from suppliers to the same strict standards PhotoShelter sets for its own products

"We've reached a unique point in time where companies that regularly leverage AI are now prompted to take a solid stance on the future of our industries as they relate to this new technology," said Kathy Carter, PhotoShelter's CTO. "PhotoShelter, a company with customers whose daily functions focus heavily on visual content, is taking a big leap forward by beginning this internal initiative and external discourse. The board serves as a promise that PhotoShelter will routinely consider the ethics of our AI usage to better inform decision-making on product innovation, improve training models, and remove unconscious bias for the betterment of all customers."

In addition to the launch of its AI Ethics Board, PhotoShelter has joined the Content Authenticity Initiative (CAI), a global coalition of over 1,800 leading tech and media companies, news publishers, camera manufacturers, nonprofits and others, working together to add a verifiable layer of transparency and trust to content online via Content Credentials. The initiative thinks of Content Credentials as a "digital nutrition label" that shows important information or "ingredients," such as the creator's name, the date it was created, what tools were used and any edits that were made. Content Credentials can be easily adopted by any company or developer via its open-source toolkit. PhotoShelter's membership in the CAI aligns with like-minded media and tech companies committed to ensuring brands and creators maintain proper attribution and credit. Additionally, PhotoShelter plans to help fight misinformation by leveraging the CAI's open-source tools to build features indicating whether AI was used to create the assets customers are using and storing in its own DAM product.

"The Content Authenticity Initiative is doing incredibly important work that will allow its members to build and maintain widespread trust with content creators," said Andrew Fingerman, CEO of PhotoShelter. "At PhotoShelter, we've made it our mission since day one to protect brands and creatives alike, so joining forces with such a pivotal organization to further develop content attribution standards and tools made perfect sense. We look forward to continuing to solidify and extend our commitment to this community."

Lipdub empowers everyday users to automatically translate and dub their voices into 28 languages

Captions, the leading AI-powered creative studio, today announced the launch of Lipdub, the new app that automatically translates and dubs video content into 28 different languages and counting. With Lipdub, anyone can dub themselves, friends, or family — and experience familiar voices and faces in a suite of new languages. Lipdub is available today for free download.

Lipdub’s video translations are complete with the ability to not only translate the subject’s exact voice but also sync their lip movement to match the translated audio, thereby delivering a viewing experience that retains the essence and context of the original content. Users can simply record or upload a video, and the app will change the subject’s exact voice and lip movements to any language they select — including French, Hindi, Spanish, Italian, Portuguese, and more. Lipdub not only translates languages, but also incorporates dialects and even vocabulary, with options like Gen Z and Texas slang. You can watch a demo video showcasing Lipdub here.

"Captions entered the translation space in the fall of 2022 with the release of translated captioning. We then launched our voice translation feature, AI Dubbing, in early 2023, and were quickly met with enthusiastic adoption from users around the world," said Gaurav Misra, co-founder and CEO of Captions. "AI Dubbing's success inspired us to push this technology to the next level and introduce synced lip movement to the mix. Since then we’ve been focused on making the technology widely available, leading us to create and launch Lipdub as its own, separate app."

At the core of Lipdub’s innovative technology is generative AI that facilitates the app’s high-quality voice translations and realistic synchronization of voice to lip movement. The algorithm can pick up on subtleties of various dialects and tones of voice, making it a vital component in Lipdub’s ability to authentically translate content. All videos produced using Lipdub are marked with a “Lipdub™ AI-generated” label to ensure transparency.

In 2021, Captions launched its original, eponymous app, which has provided more than 5 million creators of all skill levels — from real estate agents to podcasters to online coaches — the tools needed to develop and publish studio-grade content with just a few quick taps. A one-stop, AI-powered creative studio, Captions simplifies and automates key aspects of video production, from captioning, editing, and dubbing, to music integration.

45% of respondents forecast that integration of automation and AI will catalyze major transformations in their industry in the next few years

The rapid and large-scale spread of artificial intelligence (AI) technology across sectors, and AI’s far-reaching and growing impact in transforming industries, is highlighted today in a new analysis from Bain & Company and UiPath, a leading enterprise automation software company.

Bain partnered with UiPath to examine and understand the adoption and impact of AI-powered automation to date, as well as the influence that AI will play in enterprise and market reconfiguration moving forward.

The study’s findings draw from a Bain-led survey of 200 companies, the majority with revenues of $5 billion or more, alongside an extensive series of qualitative interviews with senior executives.

The report finds that while automation has long been a force for improvement and efficiency within organizations, fast-paced deployment of AI is accelerating the scope and scale of business change.

With more than half (53%) of executives surveyed reporting their businesses have already deployed some form of Generative AI, the impact of the technology is underlined by 45% of respondents forecasting that integration of automation and AI tech will catalyze a major transformation in their industry within the next few years. Nearly half (48%) of those surveyed by Bain also said they experienced a higher impact when using AI-intensive solutions such as machine learning and cognitive automation.

A majority of respondents say they are already investing in AI-powered automation, with 70% asserting that AI-driven automation is either “very important” or “critical” in fulfilling their organization’s strategic objectives. 74% anticipate a positive return on investment from their automation endeavors.

“Enterprises have an opportunity with AI-powered automation to infuse a shot of adrenaline into their business roadmaps and reconfigure their goals, regardless of size and scope – if they take a holistic approach and act now,” said Ted Shelton, Bain & Company expert partner in the firm’s Enterprise Technology and Performance Improvement practices. “Businesses must go beyond deploying this technology and fundamentally rethink and redesign business models to integrate AI and automation seamlessly. The truly future-proofed organizations will be agile, with a fluid culture and design, constantly evolving, and reconfiguring in tandem with technological advancements in AI.”

The survey found that executives are mixed on their views of Generative AI. While nearly half of organizations have adopted some form of GenAI and 44% of respondents stated that GenAI will be transformative, 18% asserted that the technology is overhyped, while another 11% believe GenAI is still undervalued.

Respondents envisage a future where AI enables new product or service offerings (58%), creates avenues for data monetization (52%), allows for heightened personalization in offerings (47%), and even paves the way to tap into previously uncharted markets or customer segments (26%).

“This Bain research shows the acute inflection point businesses face with AI and automation. The majority of organizations report AI and automation are critical to their business objectives, and most will use AI and automation as a catalyst for generating new revenues and future product offerings,” said Rob Enslin, Co-CEO at UiPath. “UiPath can operationalize the transformative force of AI through automation, seamlessly integrating intelligence into everyday operations, automating all knowledge work, and revolutionizing entire industries with AI at work.”

The Bain survey finds that most organizations have deployed a suite of automation technologies, including AI and Machine Learning (ML) (80%), Robotic Process Automation (RPA) (64%), and Predictive Analytics (69%), with the primary motivation behind adoption being increasing efficiency and productivity (85%). While the majority (69%) report experiencing the efficiency and productivity gains they sought, they also report automation-related benefits including improved accuracy and reduced errors (56%) and increased competitiveness (45%).

“It seems clear that AI-powered automation, including GenAI, will drive a larger wedge between those organizations that have a plan, and those that don’t – amplifying advantage and placing early adopters into stronger positions during the coming market reconfiguration,” Shelton said.

Gain an understanding of how to implement Gen AI tools to benefit business operations and tap into the Automation Mindset

Workato, the leading AI-powered enterprise integration and automation platform, today announced the launch of the new Generative AI and Business Operations course, part of the company’s Automation Institute. This course will explore how the rise of Gen AI tools has impacted businesses and how they can utilize Gen AI tools to reduce work complexity, streamline business processes, enhance decision-making, and learn how to responsibly implement these tools to help achieve your business goals.

Led by multiple experts who provide their perspectives on utilizing Gen AI for Business Ops, this new course will be led by Cody Guymon, Chief Operating Officer of GTM Operations at Workato, Bryan Wise, CIO of 6sense, Josef Katz, Principal Consultant of Solomon Consulting Group, Michael Fan, Senior Manager of GTM Operations at Workato, and more. Recorded in a fireside-like format, the experts will walk learners through tips and advice that they’ve gained throughout their years of experience and how they each approach AI and business operations on an everyday basis.

This course will cover:

• The different business operations use cases of Gen AI
• How to thrive in times of change with the Automation Mindset
• How you can leverage Gen AI to improve business decision-making
• Understanding the benefits of combining Gen AI and Automation platforms to maximize business efficiency
• How to responsibly adopt Gen AI tools in a business
• Categorize the three different types of AI tools with the AI Opportunity pyramid
• See real-world application of how companies have been leveraging Gen AI in their processes

Workato’s Automation Institute is a specialized collection of interactive, on-demand courses where users advance and grow their careers in automation. Automation Institute offers self-service learning materials in multiple, easy-to-follow forms such as PDFs, videos, interactive courses, and demos so that you can learn about topics around automation and the Workato platform at your own pace. Automation Institute's beginner and intermediate courses allow users to slowly and gradually absorb the multi-dimensional world of automation within Workato and build upon knowledge with exercises within each course.

“We are excited to officially launch the Generative AI and Business Operations course, designed for beginners where they can gain a foundational understanding of how to utilize Gen AI for business operations. Part of Workato’s Automation Institute, this free course is available to professionals interested in learning more about AI and automation. Our certification and courses continue to demonstrate our commitment to delivering engaging and relevant resources,” said Julien Clement, Director of Certification and Education at Workato. “We're excited to expand our courses and certifications offering while continuing to advance the Automation Institute’s main objective to be a key place to grow and advance your career.”

Named a Leader in the 2023 Gartner® Magic Quadrant™ for iPaaS, Workato enables enterprises to automate their business processes across the organization by integrating their applications, data, and experiences. Designed with best-in-class security and governance, scalability, performance, and availability, Workato’s low-code, no-code platform makes it easy for IT and business teams to integrate their applications and automate their processes, drawing from thousands of automation “recipes” built by the Workato community. With Workato’s democratized approach to automation and integration, business technologists are empowered to fuel their organization’s digital transformation.

Next-generation graph data and analytics platform now with machine learning and data science features to accelerate innovation

ArangoDB, the company behind the most complete and scalable graph data and analytics platform, announced the GA release of ArangoGraphML, a fully managed and intuitive graph machine learning platform.

In today's unpredictable times, businesses must balance cost-efficiency, customer satisfaction, and revenue growth while protecting themselves from fraud and security risks. Deeply connected graph data and machine learning provide the key to unlocking valuable insights for optimal decision-making in these areas. However, the adoption of graph-powered ML has historically been hindered by overwhelming complexity, poor accuracy, and the need for specialist expertise.

ArangoGraphML bridges this gap by providing enterprise-ready, graph-powered machine learning as-a-service – helping both experts and non-experts extract deeper insights and predictions from their data. ArangoGraphML is available as part of the ArangoGraph cloud-based graph data and analytics platform. With this release, ArangoGraph offers users a comprehensive set of data management and analytical tools – all unified by a powerful query language that natively integrates graph, JSON, full-text search, and now machine learning.

What others have to say about GraphML and ArangoDB:

"GraphML was the domain of highly skilled PhD Data Scientists - you have made it accessible to a far broader audience.'' - Erik J. Larson, author of "The Myth of Artificial Intelligence."

"It systematizes at scale, adding graph features and embeddings to your typical transaction-level models." - Satheesh Ramachandran, Head of AI and Analytics Products, Charles Schwab, Fraud Detection.

"My team has been really impressed by the GraphML approach that ArangoDB has taken. Their low-code Python strategy also makes it easy for us to try new machine learning methods and evaluate GraphML concepts using the built-in ArangoDB database integration." - Gareth Block, CEO & Founder, ThirdInsight.

The ArangoGraphML platform is a managed service that provides ease of use, high performance, efficiency, and accuracy. Given the edge every company is trying to get in these times, the accuracy uplift can make a significant impact. "We are very excited about the ArangoGraphML GA release that has been years in the making. The feedback has been very positive, and we feel the power of GraphDB and ML will drive huge business value for real-world use cases for our customers," said Shekhar Iyer, CEO of ArangoDB.

Leveraging cutting-edge advancements in graph machine learning, particularly Graph Neural Networks (GNNs), ArangoGraphML integrates these techniques into a seamless end-to-end ML lifecycle. Using the universally-recognized Jupyter Notebooks as an intuitive interface, it oversees every step, from data preparation to training to predictions. With its ease of use and robust capabilities, ArangoGraphML is set to redefine how enterprises approach machine learning with graph data. 

Jörg Schad, ArangoDB CTO, said: "Graph ML offers the next level in Machine Learning and Data Science by considering the Data not as isolated data points but in context. This allows faster and more precise insights. Given our long experience with graph and our mission to simplify the access to the Power of Graph, we are happy to take the same approach to the Machine Learning ecosystem. Building production-grade Machine Learning pipelines is challenging, and ArangoGraphML contains best practices and combines some of the leading Open Source Machine tools into a complete end-to-end platform." 

Recorded Future, the world's largest intelligence company, today unveiled at Recorded Future PREDICT 2023 Collective Insights, an automated control validation capability that enables security teams to continuously monitor their security controls. As the only automated control validation solution that is a native part of a threat intelligence cloud, Collective Insights enables security teams to monitor the effectiveness of their controls in real time, improving their organization's security posture and their own productivity.

"The global threat landscape continues to grow exponentially in breadth and complexity. It is no longer sufficient to rely solely on internal telemetry to protect organizations. Collective Insights brings the collective power of internal telemetry, external threat landscape, and Recorded Future's global customer base to deliver comprehensive insights to detect, prioritize, threat hunt, and respond at the speed and scale of today's threat environment." - Dr. Christopher Ahlberg, Co-Founder and CEO, Recorded Future

In the face of a constantly evolving global threat landscape, Security and IT teams grapple with vast data volumes and antiquated security tools, which only slow down detecting, hunting, testing, and mitigating. Collective Insights offers automated capabilities for prioritization, threat hunting, monitoring, and reporting on control effectiveness, catering to security teams of all sizes. By tapping into extensive data from The Intelligence Graph, the largest intelligence repository, and leveraging global customer telemetry data, combined with insights into cyber attackers' tactics and operations, clients gain real-time, customized threat insights specific to their threat landscapes. This significantly enhances their capacity to proactively search for threats and protect their organizational operations.

Since launching Collective Insights in April this year, over 300 clients have been utilizing it to analyze and correlate incidents from their security tools like Splunk, Palo Alto XSOAR, Microsoft Sentinel, Sentinel One, Okta, Carbon Black, and Microsoft Defender to connect the dots across their internal telemetry and external threat landscapes to proactively mitigate risks.

"By leveraging the collective wisdom of the intelligence community and the largest Intelligence Graph, Collective Insights offers an unrivaled level of control validation that no manual process can match. It acts as a vital safeguard, ensuring that security measures remain robust and can adapt to the evolving threat landscape, offering a proactive defense against potential business impact." - Craig Adams, Chief of Product and Engineering, Recorded Future

New backup appliance bundles provide highly optimized data replication and cloud tiering capabilities with up to 70X greater storage and networking efficiency

Quantum Corporation, the leader in solutions for unstructured data, today announced new bundled offerings for organization-wide data protection based on Quantum DXi-Series Backup Appliances, the industry's most efficient backup data management platform. With continued data growth, the increasing value of data, and the constant threat of ransomware, customers must be forever vigilant and adhere to backup and recovery best practices that include multiple data copies and offsite protection. With DXi® Edge-Core-Cloud Bundles, customers can easily and cost-effectively deploy a simple, comprehensive data protection fabric across their in-house infrastructure and cloud-resident resources to protect their data—and their business operations-- from harm.

DXi-Series appliances are available as both physical and virtual appliances, providing enterprise scale and flexible deployment options. With built-in replication and newly announced DXi Cloud Share tiering, DXi appliances may be deployed across edge sites, central data centers, and the public cloud, acting as a co-operating set of resources to protect data wherever it lives. With patented data reduction features, DXi dramatically reduces storage and networking costs of stored backups, replicated copies, and cloud archives, providing up to 70* times the efficiency of other backup solutions. With flexible deployment options, a complete set of enterprise software features, and a rich backup software ecosystem, DXi-Series solutions fit well in small implementations to the most complex enterprise environments.

To simplify purchasing and deployment, DXi Edge-Core-Cloud Bundles are now available with all the components customers need to easily deploy the solution across their enterprise. The bundles include pre-configured physical and virtual appliances and are available in four standard capacity sizes—Small, Medium, Large and Extra Large—in support of multiple edge locations, central data centers, and cloud-based archiving targets. Logical capacities range from 400 TB terabytes up to 228 petabytes.

"Quantum's end-to-end platform empowers customers to address their unstructured data needs across the entire data lifecycle. Protecting and preserving data efficiently is a key requirement," said Sanam Mittal, vice president, DXi engineering and product management, for Quantum. "With the new DXi Edge-Core-Cloud bundles, customers get a cost effective, fully modern data protection architecture designed to efficiently manage and protect backup data copies across their entire enterprise and help ensure their most valuable asset—their data—is safe."

"Our customers today are looking for cost-effective solutions to protect their data across their entire hybrid cloud environment," says Glenn Wallin, senior sales representative of IT solution provider, NordStar Group. "DXi Edge-Core-Cloud bundles deliver incredible value across organizations of all sizes and complexity. With built-in replication and cloud tiering based on DXi's patented data deduplication engine, these bundles dramatically reduce the overall software, storage and networking costs required for us to deliver complete, affordable, end-to-end protection."

Audio Partnership to Unlock Precision Targeting Across Ultimate Destination Hub for Theater Content