SOFTWARE

Frontify Introduces the Developer Platform - Public API Allows for Custom Brand Building Experience

Frontify | August 18, 2021

Brand management software company Frontify today announced the launch of the Developer Platform, a series of tools including the GraphQL API which allows Frontify users to customize their brand-building experience, allowing for new integrations with existing technology and the ability to build apps that can easily connect to the platform.

This expansion of the Frontify offering comes after a year of banner growth for the company, which helps major corporate brands including Pepsi, Dyson, and Vodafone take better control of their brands. By utilizing the new Developer Platform, Frontify is expanding upon their industry-leading solution and giving customers more flexibility than ever, allowing them to improve efficiency, maintain consistency and collaborate seamlessly with both internal and external stakeholders.

“The Frontify Developer Platform was created because each brand has its own tech-stack and set of applications, and tools,” stated Remo Brunschwiler, VP of Product at Frontify. “By opening up our platform to developers, we enable them to automate their brand processes, and mold Frontify into their tool landscape – further elevating their holistic brand ecosystem through Frontify. With the best developer experience in mind, our developer tools and services make building your own integrations a breeze. Now, the platform can integrate with any tools people are using every day.”

The Developer Platform includes different tools and services to connect existing apps and build new ones that can link to the Frontify platform. The suite of offerings includes six critical components users need to develop and link their own applications to Frontify, including:

  • Frontify Finder. Easily access all assets that live in Frontify in a more convenient way. Frontify Finder is a prebuilt component that brings client authentication and asset management together into a single flow. Decoupled from the main Frontify application, this will allow assets stored inside Frontify to be conveniently accessible from within any external web application.
  • Frontify Authenticator is a dedicated prebuilt component that implements the OAuth 2.0 flow for public applications (e.g., web apps) to perform client authentication outside of the main Frontify application, allowing Frontify clients to easily access their accounts from within any secure web application.
  • GraphQL API is the open base for extending the functionality of Frontify. The open API gives users the power and flexibility to build apps and integrations on top of the already industry-leading platform.
  • Frontify Image Worker is a powerful service that equips you to show previews of assets on other applications, and manipulate images based on different parameters such as image size, image selection and cropping, and image resolution.
  • Currently in Beta: Frontify Webhooks. Our webhooks provide a simple way that Frontify can speak to other apps, offering developers the possibility to start automating tasks, messages, assets, and much more.
  • Coming Soon: Frontify Custom Blocks. Frontify’s Brand Guidelines include over 38 tailor-made content blocks that allow brands to express themselves – from displaying how the company logo should be used to showcasing brand colors and making them available to download. By introducing our CLI, developers can build, add, and preview new content blocks that fit the specific purposes of their brand.

The Frontify Developer Platform is now available to all current Frontify customers. 

About Frontify
Frontify is a market-leading software-as-a-service (SaaS) company that empowers companies including Facebook, Pepsi, Lufthansa, Dyson, Vodafone, and Allianz to manage and develop their brands effectively. Established in 2013 and headquartered in St Gallen, Switzerland, Frontify’s 180+ person team works across the company’s Swiss and New York bases to serve customers around the world.

Spotlight

As the number of cyberattacks against companies increased, Westfield Insurance Group's data security staff needed the ability to more quickly uncover internal and external risks to customer data. Data security and protection from IBM helps the insurer automate data discovery and classification, continuously monitor data access, and proactively uncover vulnerabilities and risks. Westfield Insurance data security staff can now quickly identify where customer data is stored, who’s accessing it, and why they’re accessing to more rapidly respond to potential security threats.


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GENERAL AI

Zest AI Releases New Race Prediction Model To Reduce Systemic Bias In Lending

Zest AI | March 02, 2022

Zest AI, a leader in software for AI-driven lending, today announced the launch of Zest Race Predictor (ZRP). This open-source machine-learning algorithm estimates the race/ethnicity of an individual using only their full name and home address as inputs. ZRP can be used to analyze racial equity and outcomes in critical spheres such as health care, financial services, criminal justice, or anywhere there's a need to attribute the race or ethnicity of a population dataset when race/ethnicity data is missing. The financial services industry, for example, has struggled for years to achieve more equitable outcomes amid charges of discrimination in lending practices. A better yardstick can help reverse this legacy of bias. ZRP improves upon the most widely used racial and ethnic proxying method, Bayesian Improved Surname Geocoding (BISG), developed by RAND Corporation in 2009. In multiple tests against BISG, ZRP was able to identify African-Americans correctly 25% more often, identify 35% fewer African-Americans as non-African American, and 60% fewer Whites as non-White. Zest AI began developing ZRP in 2020 to improve the accuracy of our clients' fair lending analyses by using more data and better math, We believe ZRP can significantly improve our understanding of the disparate impact and disparate treatment of protected-status borrowers." Mike de Vere, CEO of Zest AI. I've employed the ZRP output myself and found that it provided results consistent with our predictions, in the context of predicting the race of PPP borrower firm owners, Getting race estimates right is key to facilitating fair lending practices in America, and by making their tool open-source and freely available, Zest's application is an important step towards that goal." Sabrina Howell, Assistant Professor of Finance at NYU Stern. We have known since our 2014 study that BISG leaves much room for improvement, We are thrilled Zest took the initiative to apply modern data science methods to develop a better race estimator, and we are looking forward to further validating this work." Dr. Marsha J. Courchane, Vice President and Financial Economics Practice Leader, Charles River Associates. More accurate race prediction will help the entire lending ecosystem: Lenders will be better able to identify unfair outcomes to improve models. Regulators will have a better tool to enforce fair lending rules that drive equity in access to credit products that could help people of color earn better credit scores. Borrowers will benefit by knowing their race and ethnicity are more accurately reflected alongside their credit history. About Zest AI Zest AI software helps lenders make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Since 2009, it has made fair and transparent credit available to everyone and is now the leader in software for more inclusive underwriting. The company is headquartered in Los Angeles, California.

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GENERAL AI

PyTorch Lightning Creator, Lightning AI, Launches Open-Source Platform and Raises $40 Million Series B to Reinvent the Way AI is Built

Lightning AI | June 18, 2022

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To solve any kind of AI problem from research to deployment and production-ready pipelines, users can simply group components of their choice into a Lightning App and customize the underlying code as needed. Lightning Apps can then be republished back into the community for future use, or kept private in users’ personal libraries. Lightning AI combines a wide variety of extant tools into a modular, intuitive platform for building AI applications in research, enterprise and personal contexts. It is the foundation of the growing Lightning ecosystem, which provides developers with a suite of ready-to-use tools and required infrastructure and compute resources, as well as community support for building AI applications. 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After creating and releasing PyTorch Lightning in 2019, William Falcon launched Lightning AI to reshape the development of artificial intelligence products for commercial and academic use. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Its aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.

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AI TECH

New Release of the expert.ai Platform Accelerates AI-based Natural Language Solutions Adoption and Time to Value

Expert.ai | April 27, 2022

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[1] While data has always been integral to businesses, the proliferation of language within the enterprise and the rise of digital transformation have created a new sense of urgency to increase the adoption of artificial intelligence (AI) technologies for natural language to get the most out of all data available to an organization. This has led to the increasing adoption of AI solutions for natural language to get the most value from all data available to an organization. To scale quickly and make AI investments successful, organizations need the tools and capabilities to deliver impactful results, faster. Expert.ai has been pioneering efforts in composite, or hybrid, AI with proven-market expertise and best practices honed from hundreds of successful, real-world implementations across industries, including insurance, financial services and banking, publishing and media, defense and intelligence. 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[2] Features and benefits delivered by the new release of the hybrid AI expert.ai Platform include: 'Smarter from the start' knowledge models deliver NL applications to production faster with higher levels of business accuracy: new Platform release includes access to customizable pre-built rules-based NLP Knowledge Models used to classify text and extract entities, insights and relationships specific to a domain or use case. Knowledge models made available by the new platform release include: finance (commodities, currencies, macro-economics); ESG (environmental social and governance); life sciences; behavioral and emotional traits; PII (personally identifiable information, with redaction or pseudonymization). Simplified deployment processes across multiple environments, including Azure: new release enables users to select MS Azure as a preferred deployment environment. 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Organizations in insurance, banking and finance, publishing, media and defense all rely on expert.ai to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. Expert.ai's purpose-built natural language platform pairs simple and powerful tools with a proven hybrid AI approach that combines symbolic and machine learning to solve real-world problems and enhance business operations at speed and scale. With offices in Europe and North America, expert.ai serves global businesses such as AXA XL, Zurich Insurance Group, Generali, The Associated Press, Bloomberg INDG, BNP Paribas, Rabobank, Gannett and EBSCO.

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SOFTWARE

Apiiro Launches Partner Program to Help Customers Fix Cloud-Native Application Risks Faster

Apiiro | June 03, 2022

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Spotlight

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