SproutLoud | November 04, 2022
SproutLoud, an industry leader in Distributed Marketing technology, announced the launch of its new Developer Portal, a key component of the company’s Open Platform initiative.
This launch will provide several benefits for SproutLoud clients, especially developers:
Faster coding through auto generated API Clients and server stubs
Enhanced security through the use of OAuth 2.0 and two legged authentication
Broader data integration options powered by rest APIs and webhooks to help Enterprise companies automate day-to-day operations and scale for growth
“SproutLoud’s Open Initiative is all about making our technology more flexible, more adaptable, to our clients’ needs,” said SproutLoud CEO Jared Shusterman. “Current technology buyers want interoperability between their newer purchases and pre-existing MarTech investments. The idea of being ‘Open’ is that we’re providing a lot of different ways for other platforms to talk to our platform — so our clients can model the strategy that is right for their business, rather than trying to improvise a strategy to fit the software they buy.”
SproutLoud’s Open Initiative is primarily focused on three aspects:
Reducing the amount of effort and IT resources required to integrate with SproutLoud
Creating a secure environment for SproutLoud to connect with third-party systems
Giving customers more options to seamlessly work with SproutLoud
As a key component of SproutLoud’s Open Platform initiative, the Developer Portal embodies the company’s quest to build the most flexible and developer-friendly technology for data exchange.
With SproutLoud, Enterprise clients can now offer integrations to their partners while maintaining control over the data they share by creating individual integration points. The SproutLoud Developer Portal supports a bleeding edge API gateway based on OAuth 2.0. All SproutLoud APIs were transitioned to industry standards OpenAPI 3.0.3 to support standardized documentation and offer easy integration with clients’ systems.
SproutLoud is a leading SaaS-based Through Channel Marketing Automation platform, designed to increase brand sales through partners in local markets. SproutLoud’s advanced marketing automation technology simplifies every aspect of Distributed Marketing and delivers comprehensive analytics on tens of millions of touchpoints for major, category-leading brands. SproutLoud gives brands unparalleled visibility on ROI for individual tactics, campaigns, partner engagement and platform usage. With SproutLoud, brands have the advantage of responding rapidly to changing market conditions in real time with data-driven decisions.
AI TECH,GENERAL AI,SOFTWARE
GetResponse | November 29, 2022
GetResponse, email marketing, and marketing automation software, announces the launch of AI Product Recommendations. The solution employs artificial intelligence to revolutionize the customer journey and experience.
The feature allows shop owners to maximize their conversions by showing products to visitors with the highest probability to convert, based on their past behavior and transactional history, to increase upsells and cross-sells.
Shop owners can also improve their store UX because the recommendations block serves as a navigation tool, increasing the time customers spend on the website, thus also growing conversions. Businesses can analyze store traffic and users' behavior with AI to make better business decisions.
"Our goal at GetResponse has always been to deliver cutting-edge tools focused on driving conversions without the extra hassle of increased budgets or lengthy implementation cycles. "After months of work, businesses can now benefit by personalizing the omnichannel experience for their customers, both on their websites and mailing."
Mac Ossowski, Board Member and Director of GetResponse MAX
The AI Product Recommendations launch comes just in time for businesses to benefit from the lucrative holiday season.
"The important point is that it verifies each product against the stock availability, so there are no missed clicks for the customers. Shop owners can significantly increase their ROI and AOV," Ossowski said.
AI Product Recommendations powers ecommerce businesses at scale, providing the following types of product recommendations:
Recommended for you: a self-learning model that displays recommendations with the highest probability of conversion for a specific customer.
Most viewed in category: the algorithm recommends products with the most views within a specific category.
Most similar in category: the algorithm displays products based on their similarities in names and descriptions.
Recently visited in-store: visitors see product recommendations based on their previous visits to the store.
Others also viewed/purchased in-store: AI suggests products other customers have checked or purchased in-store.
Rule-driven recommendations: the store owner defines the products they want to promote to their customers.
Founded in 1997, GetResponse, a powerful email marketing, and marketing automation software, has more than 20 years of experience empowering businesses to run online marketing effectively. Along with 24/7 customer support available in eight languages, GetResponse features more than 30 tools – email marketing, website builder, conversion funnel, marketing automation, and more.
AI TECH,GENERAL AI
Aetina | December 08, 2022
Aetina, an edge AI solution provider that offers embedded computing hardware and software for AI and IoT, has launched a new ASIC-based edge AI system powered by the programmable Blaize® Pathfinder P1600 Embedded System on Module (SoM). The Aetina AI inference system—AIE-CP1A-A1—is a small-sized embedded computer designed for different computer vision applications, including object detection, human motion detection, and automated inspection.
The AIE-CP1A-A1 model features the small form factor Blaize® Pathfinder P1600 Embedded SoM, ideal for rugged and challenging environments and embedded systems that need extended temperature ranges. It features Dual ARM Cortex A53 processors, 16 GSP cores providing 16 TOPS AI performance, and the benefits of low memory bandwidth and low latency, making it capable of accelerating neural network (NN) deployment and deep learning (DL) process.
Based on the Blaize Graph Streaming Processor (GSP®) architecture, the Pathfinder enables energy-efficient processing power ideal for AI inferencing workloads at the edge, easily plugs into a custom carrier board, and runs autonomously or integrated within a larger system. Due to its compact, fanless design and multiple I/O ports, the AIE-CP1A-A1 can fit both commercial and industrial-grade AI-powered systems that involve vision AI-related inference. The Blaize Pathfinder also supports H.264/H.265 video encoder and decoder, making it compatible with different sensors to run quick image recognition and video analytics tasks.
Aetina offers customized carrier boards and computer cases for sophisticated system integration and chip-down design service to provide other kinds of embedded computing models, such as single-board computer (SBC) with the Blaize Pathfinder in addition to regular box PCs. Moreover, Aetina helps developers convert their AI inference models to a format that can run and function normally on edge devices built with ASIC chips.
“We are now expanding our edge computing product line to bring more GPU and ASIC-based solutions to help developers build their AI systems in various verticals and industries. “The AIE-CP1A-A1 model, powered by Blaize Pathfinder P1600 SoM, is our first ASIC-based system. In the future, by integrating different types of chips and modules, we can offer heterogeneous computing devices that are suitable for different AI models.”
Jackal Chen, Senior Product Manager at Aetina
Keeping AI processing and inferencing workloads at the edge, rather than sending data to the cloud, is critical for cost-effective and almost latency-free AI applications," said Dinakar Munagala, CEO and Co-founder of Blaize. "The Pathfinder SoM and our GSP architecture enable this key business objective for the demands of computer vision applications, including object detection, autonomous optical inspection, robotics, and more."
Additionally, Aetina is now developing more ASIC-based AI accelerators with M.2 and EDSFF specification for developers, speeding up the inference processes of their AI models at the edge.
Blaize is a leading provider of a proprietary purpose-built, full-stack hardware architecture and low-code/no-code software platform that enables edge AI processing solutions at the network’s edge for computing in multiple large and rapidly-growing markets — automotive, mobility, retail, security, industrial automation, medical devices, and many others. Blaize’s novel solution solves the technical problem that edge AI processing requires across those verticals — very low latency and high thermal and power efficiency — which previously relied on retrofitting sub-optimized AI solutions designed more for data centers and the cloud. Blaize has previously raised over $180MM from strategic investors such as DENSO, Daimler, Magna, and Samsung, and financial investors such as Franklin Templeton, Temasek, GGV, and others. With headquarters in El Dorado Hills (CA), Blaize has teams in San Jose (CA) and subsidiaries in Hyderabad (India), Manila (Philippines), and Leeds and Kings Langley (UK), with 300+ employees worldwide.
Aetina Corporation, founded in 2012 in Taipei, Taiwan, is a leading provider of state-of-the-art AI solutions involving high-performance edge computing hardware and low-code/no-code software to help developers build different AI verticals quickly. With a focus on the global AI market, Aetina is committed in delivering professional longevity services to solve the developers’ pain points and speed up their AI adoption processes.
AI TECH,GENERAL AI
Originality.AI | December 06, 2022
With the proliferation of artificial intelligence (AI) writing tools publishers are concerned that the content being created by their writers is AI-generated and not original work.
The problem is that Google has made it clear, AI-generated content, without the addition of extra value, is against their policies. Google states “content that's been generated programmatically without producing anything original” is against their policies which means it may rank lower in results or not appear at all.
The team at Originality.AI is excited to announce the creation and launch of the world's first AI that is built and trained to predict when a block of text has been created by any of the popular AI tools (covering the natural language processing (NLP) models GPT-2, GPT-NEO, GPT-J and OpenAI’s latest GPT-3).
“It is important for publishers to know when the content they are publishing may be created by humans and not AI tools,” said Jonathan Gillham, Founder of Originality.AI. “Until now that has not been possible. We think of the AI built at Originality.AI to be the good version of the Terminator – AI working for our benefit to detect other AI-generated content.”
A recent study showed that Originality.AI was successfully able to detect AI-generated content by several of the most popular tools including Jasper.AI, Rytr.me and WriteSonic.com.
“Our model is able to detect content generated by the most popular NLP API’s with an accuracy of 94.06% for GPT-3, 94.14% for GPT-J and 95.64% for GPT-Neo.”
Conor Watt, Lead Developer at Originality.AI
Originality.AI was created based in part on the experience the team had running a content marketing agency that was sold in 2022.
“We wanted to be able to provide publishers data showing that the content they were going to publish is truly original,” said Gillham. “For us “original” simply means both free from plagiarism and created by a human, not a bot.”
In addition to Originality.AI’s AI detection, it has a robust plagiarism detection module with features that publishers who manage a team need but are not currently available. This includes a dashboard, team management, complete website scans and team history.