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In Tel Aviv, HR & People Engagement, Technologies

GenAI-Powered Recruiters Boost Qualified Candidate Pools By 55%

Matching qualified candidates with open positions just became a lot more cost-efficient with GenAI. Sense Talent Labs has developed an AI-powered talent engagement app that reduces cost per hire and gives job seekers that all-important human touch to bond with an organization’s culture.

“We provide intelligent personalized candidate journeys from sourcing and screening through interviews, hiring, and onboarding,” said Alex Rosen, co-founder and head of products at Sense. “Our full lifecycle talent and engagement platform empowers recruiters and candidates with individualized interactions. Organizations can find, hire, and onboard qualified people faster, boosting recruiter productivity and giving candidates a higher quality experience.”

Sense’s customers are from a variety of industries worldwide including retail and hospitality, manufacturing and logistics, healthcare, and technology. Rosen said that on average companies reduce time to hire by 30% and cost per hire by 35%, while increasing the number of qualified applications by 55%.

Surprisingly personalized automation from GenAI chat bot

Embedded in SAP SuccessFactors, Sense AI Copilot sources and pre-qualifies candidates from an organization’s existing applicant database and new applications. The conversational AI chat bot asks important questions based on the job description including someone’s last job title, years of experience in pre-designated responsibilities, and willingness to work certain hours at a particular location. Candidates that pass the first pre-screening are automatically scheduled for interviews with the appropriate hiring managers based on updated calendars.

“The chat bot knows as much as possible about each candidate based on all the touch points that they’ve had with the company, such as jobs they’ve previously applied to and their resume background,” said Rosen. “There are no redundant questions that reflect what someone’s already provided on their application. Without wasting any time, the chat bot asks the candidate for new information, speeding up the entire process.”

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In Uncategorized

How Pryon mitigates the risks of GenAI in enterprise contexts

With every technological innovation comes a downside; in the world of AI and its generative iteration, KM professionals must strike the balance between enhancing workflows with AI and protecting their enterprise against the risk of open generative AI (GenAI) solutions.

Experts from Pryon joined KMWorld’s webinar, Navigating the Risks of Generative AI for Knowledge Management, to explore how Pryon’s AI knowledge management platform can aid in achieving that risk/reward balance when implementing GenAI in the workplace.

Chris Mahl, president and COO at Pryon, introduced Igor Jablokov, founder and CEO at Pryon, who explained that “while generative AI is transformative in certain public, imaginative, and creative use cases, there is certain issues associated with them showing up in more enterprise contexts.”

Upon inspecting these technologies, Jablokov continued, there is an extensive list of dangers, which include:

  • Frequent hallucinations
  • Static training data
  • Problems memorialized in code
  • High risk of data leakage
  • Vendor lock-in
  • Reverse engineering
  • Lack of user access control
  • Prompt injection attacks
  • Supply chain attacks
  • Universal and transferable adversarial attacks
  • Copyright legal gray area
  • Legal constraints
  • Toxic and biased responses
  • Limitations of monolithic LLM architecture
  • Extensive energy consumption
  • Model collapse
  • Model drift
  • Poisoned training data

This laundry list of potential risks in implementing GenAI for proprietary use cases illustrates that while the technology is exciting, it’s not without its drawbacks. For instance, static training data—which limits an LLM to outdated information—can prevent the language model from outputting the most up-to-date information. Furthermore, models will not reliably “forget” wrong or outdated information, ultimately reducing overall model performance, according to Jablokov.

Outside of accuracy, GenAI poses unique privacy concerns in enterprise contexts. Leaking sensitive proprietary data, vendors using that data to train an LLM, masked queries revealing the content an LLM is trained on, and more can land an enterprise vying for innovation in hot water.

Enter Pryon, a platform purpose-built to eliminate the risks posed by purely generative approaches. Pryon transforms static content into interactive knowledge, ingesting information of any classification—including public, personal, published, and private content—and eliminating the distance between critical information and those who need it most.

Pryon reduces risk of hallucinations and bias, while simultaneously employing document-level access controls and RAG methodology that does not require model training on user queries. Enterprises have full control of the knowledge set available to the models, as well as access to various tools that enable additional control over responses.

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In Foundries, New York, CRM & Customer Experience, Technologies

Online Shopping Is Arduous: AI Makes It Easy

While AI isn’t an automatic slam dunk panacea for every business problem, one thing it’s incredibly gifted at is sifting through tons of information to help people quickly find the product of their dreams.

Anyone who’s searched for a product, be it an e-bike, laptop, or washing machine, is all too familiar with choice paralysis from information overload. Imagine instead, landing on a website and conversing with the smartest salesperson in the world available 24/7, who asks the right questions to give you the right product as fast as possible. Meet Zoovu, an AI-powered platform that helps B2C and B2B companies match customers with the exact product they’re looking for.

“Our cloud-based AI product discovery platform helps customers connect to their customers by surfacing the right product,” said Lamees Butt, senior vice president of global alliances and channels at Zoovu. “We remove choice paralysis by simulating the kind of in-store shopping experience that you would get with the most knowledgeable salesperson.”

Butt said that global brands, retailers, and manufacturers realize on average a 200% conversion uplift in customer purchases, and an increase in average cart value by 47%. One power tool company increased customer engagements by an estimated 65% in over 35 global markets.

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In Awards, Singapore, HR & People Engagement

Accredify beats 260 startups to win 2023 Supernova Challenge

Accredify, a Singapore-based startup and service provider for issuing verifiable documents and information, has emerged as the champion of the 2023 Supernova Challenge at Expand North Star Dubai, the world’s largest startup event. The startup received the $100,000 grand prize after an intense final round of pitching against 27 global finalists from 521 entries.

The Supernova Challenge in partnership with the Dubai Future District Fund, is the region’s biggest startup pitch competition, offering $200,000 in total cash prizes. The challenge is a key feature of Expand North Star Dubai, which hosted its biggest edition this year. It attracted over 1800+ startups from over 100 countries to explore the emerging opportunities in Dubai’s dynamic, diverse and tech-driven digital economy.

Simon Gordon, Chief Commercial Officer of the winning team, said, “Supernova 2023 has been an incredible experience. It’s surreal to win this challenge at Expand North Star. This region, particularly the UAE, has so many great opportunities, and we are excited about using this prize money to expand our presence here.”

One of the judges at Supernova, Sharif El-Badawi, CEO of Dubai Future District Fund, commented, “It is encouraging to see a shift towards sustainable solutions that are better for the planet and its people. We witnessed several startups delivering concise yet compelling pitches that could impact our lives. The pitches we witnessed here at the Supernova Challenge are brimming with promise, unique innovations, and inspiring ideas.”

An expertly curated list of categories covered the latest trends in tech, inviting startups to showcase innovations that can solve some of our most pressing challenges. These included AI Disruptor, Fintech & Ecommerce Disruptor, Blockchain & Web3 Disruptor, Mobility & Smart Cities Disruptor, Healthtech & Wellness Disruptor, Martech Disruptor, Insurtech Disruptor in partnership with MENA Insuretech, Female Founder Award in partnership with the Sharjah Businesswomen Council, Africa Fast Award presented by GITEX Africa, Asia Fast Award, India Fast Award, and the Top MENA Award. In collaboration with GITEX Impact and Future Urbanism, Expand North Star also awarded the most proficient Sustainability and ESG Disruptor.

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In CRM & Customer Experience, Technologies

Adverity announces Gen AI Integration in Latest Product Strategy

Adverity, the integrated data platform for connecting, managing, and using your data at scale, today announced the rollout of incorporated generative AI tools within the platform as part of its latest product strategy.

Continuing its mission to help marketers and data professionals maximize the value of their data, the platform has announced a host of new upcoming and future AI-assisted features, including:

  • Data Transformation Assistant: Users are able to use the assistant to help with creating data transformations. By inputting the requirements they have, the assistant will automatically create the code for the transformation, as well as provide step-by-step instructions on how to implement the desired outcome.
  • New Connectors on demand: Users can upload details for their API of choice and build new connectors on demand with the help of AI.
  • Natural language Data Analytics: The integration with AI tools such as ChatGPT enables users to ask questions using non-technical everyday language and receive instant answers to their data-based questions, vastly simplifying the data analytics process.
  • Proactive Intelligence: Users will be able to interact with their data, and request digestible summaries within the tables, which can be validated and put into action or used as the basis for further targeted analysis.

By harnessing the power of generative AI, Adverity ensures customers can most effectively manage and use their data at scale. A recent report from McKinsey highlights that GenAI has the potential to generate a value ranging from $2.6 trillion to $4.4 trillion across different sectors.

The benefits for Adverity users will include:

  • Time savings through easy access to vast amounts of data, activated by AI for quick answers to data-based questions.
  • Faster onboarding and better assistance in data transformations for less technical users.
  • Self-Serve connector capability – provides users with infrastructure to easily build their own data connectors.
  • Quicker and faster journey to generate insights on the Adverity platform.

“The impact that generative AI will have on businesses over the next few years is huge. It has already started to revolutionize the way in which people interact with everyday tasks both professionally and personally. Increasing the value for our customers and ensuring that they have the quickest and easiest way to generate the insights they need, has always been a number one priority for Adverity, comments Martin Brunthaler, Co-founder and CTO of Adverity.

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In HR & People Engagement, Technologies, Singapore

Paradox Named to Third Consecutive Inc. 5000 List — Growing by More than 720% Since 2020

Paradox, the conversational recruiting software helping companies like Unilever, Nestlé, Pfizer, and General Motors automate recruiting work to make the hiring process more efficient, was named to the Inc. 5000 for the third consecutive year — achieving the honor with a 720% three-year growth rate, highest among recruiting technology companies. The list, published annually by Inc. Magazine, recognizes the fastest-growing private companies in the United States and celebrates their outstanding achievements in business development and innovation.

Paradox debuted on the Inc. 5000 list in 2021 and was also recognized on the Deloitte Fast 500 list in 2022 and 2023. While those achievements celebrate the company’s growth, Paradox founder and CEO Aaron Matos said they’re simply the result of focusing on something far more important.

“Recognition like this is nice, but we’ve always benchmarked our success by a simpler metric: Our client’s success, specifically, our ability to solve real, meaningful problems for them in transformative ways,” said Matos. “This company has come so far from the early days of a dream and an idea — that Conversational AI and automation could change enterprise software — and we still have a long way to go to reach that vision. But, I’m so proud of the team we’ve built and the clients we have the opportunity to partner with every single day.”

First launched in 2016, Paradox’s conversational software is underpinned by a smart AI assistant that acts as a concierge throughout the hiring process — automating time-stealers and points of friction to create world-class experiences that drive higher candidate conversion and dramatically improve recruiter and hiring manager efficiency.

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In HR & People Engagement, Technologies, Singapore

Conversational AI in Recruitment

hrtech, the Singapore-headquartered HR Technology Analyst firm, recently announced the launch of an HR Guide titled “Conversational AI in Recruitment” to address the need for automation that simplifies and streamlines the candidate experience, while saving hours of repetitive work for recruiters every day. The guide was produced in partnership with Paradox, the conversational hiring platform helping global employers like Unilever, Nestle, McDonald’s, and General Motors transform hiring with mobile-first automation.

The idea behind the HR guide stems from the fact that there has been a drastic change in the way organizations and employees approach business processes. Digital transformation has been the topmost priority for organizations wanting to enhance business proficiency and candidate experience. Today, candidates want a consumer-grade experience at their workplace and expect the hire-to-retire journey to be digitally seamless and efficient. Candidates also expect multi-channel accessibility to connect with recruiters — and instant access to information throughout the hiring process. This is where Conversational AI proves to be a great aid for recruiters.

The HR guide intelligently brings rest to all the myths surrounding Conversational AI and maps out the differences between traditional recruitment techniques and Conversational AI-led recruitment. To harness the full potential of Conversational AI, the HR guide validates that organizations can integrate this technology into their recruitment tech stack, including Applicant Tracking System (ATS), job boards, CRM, assessments, recruitment marketing tools, and more.

The HR guide brings to light the success stories of global organizations that have deployed Conversational AI to enhance their recruitment function. The detailed case studies about the United Overseas Bank Limited (UOB), McDonald’s, and a non-profit healthcare organization will help you understand how Paradox helped them improve their recruitment function and enhance the candidate experience using Conversational AI.

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In Technologies, HR & People Engagement

Impress.Ai Unveils ImpressGenie, A Generative AI-Based Workflow Builder

 impress.ai, a leader in enterprise recruitment software solutions, announced the roll-out of their innovative product impressGenie – a generative AI driven bespoke recruitment workflow builder. Recruiters can easily design role-specific recruitment workflows using simple natural language user-friendly prompts with this tool.

impressGenie’s capabilities include:

  • Mass Customization: Builds bespoke, role-specific recruitment automation workflows with precision
  • Job Description Parsing: Identifying and integrating relevant screening criteria, including keywords, into the workflow based on the job description
  • Competency Assessment: Recommending relevant assessment questions or third-party assessment tests

With impressGenie, recruiters can now efficiently customize recruitment automation workflows at a large scale, generating distinct workflows for each role, rather than relying on a one-size-fits-all approach. This mass-customization capability radically transforms the recruitment process, accommodating the unique requirements of thousands of roles.

When a new role opens, recruiters can provide basic prompts about the role to impressGenie, which will then generate a custom workflow. This workflow manages role-specific candidate information collection, screening, interview scheduling, and onboarding. Recruiters have the flexibility to decide which parts to automate and which to retain a human touch, ensuring a perfect blend of efficiency and personalization. impressGenie seamlessly integrates with all major Applicant Tracking Systems (ATSs), including SAP SuccessFactors, Workday, and Oracle Recruiting Cloud.

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In Uncategorized

How GrainChain Is Leveling the Playing Field

GrainChain has been nominated in HackerNoon’s annual Startup of the Year awards in McAllen, Texas, USA.

Meet GrainChain

GrainChain is working to level the playing field for producers and all other participants along the global agricultural supply chain by directly addressing current pain points such as reliability of data, traceability, the speed of payments, and access to financing and insurance.

My Role

I am Tom DeRosa, Director of Marketing for GrainChain. I have the privilege of crafting GrainChain’s story and sharing it with the world, from what we do to how we do it and the impact we are making across the global agricultural supply chain.

I’m excited about our most recent campaign: interviews with the producers, lenders, and other supply chain participants that we work with. There are real people and real world success stories behind our impressive technological innovations.

How We’re Disrupting/Improving the Agricultural Industry

We’re bringing the technological tools that large-scale producers use and making them available to small to medium-sized producers.

GrainChain is working to take an industry that is still relying on paper and labor-intensive practices and move it toward a productive, sustainable future, helping producers, buyers, storage operators, lenders, and other supply chain participants around the world.

Our software ecosystem solves problems for all participants at every stage of the supply chain, providing better visibility, efficiency, and data. We are not merely aggregating data but generating it, and the reliability of this data allows us to open up new opportunities in the marketplace.

Standing Out from The Crowd

We are unique because we are not creating solutions in search of a problem.

We’re not building blockchain and IoT-driven solutions because that technology is popular and draws attention–we are constantly seeking out the best technology and approaches available to solve real-world problems faced along the agricultural supply chain.

More importantly, we are applying these technologies the right way.

Each solution we have built solves a specific problem that producers, buyers, lenders, storage operators, and other supply chain participants are facing in markets around the world.

We believe no one is really tackling supply chain efficiency, traceability, and liquidity in the holistic way we are, connecting all participants through a single point of truth.

Our Predictions/Thoughts on the Agricultural Industry in 2023

Automation and digitization of processes at each stage of the supply chain will continue to ramp up in 2023, meaning more reliable, real-time data can be captured, stored, and made available to all stakeholders.

This data is key to lowering risk and providing producers with more and better financial options from loans to insurance.

AI is going to be transformative in this industry as it is across all industries. AI can help supply chain participants identify anomalous data and solve problems more quickly.

It can enhance predictive analytics and forecasting so that producers can make their operations more efficient and get better prices in a highly volatile marketplace.

As with many industries, there will be a shift away from proprietary hardware and heavy investments in infrastructure toward cloud computing and mobile apps that allow producers, storage operators, and logistics providers to more quickly and easily integrate technology into their operations.

We’re in an age of amazing advancements in technology, but the key is applying the right technologies in the right way to truly impact the agricultural supply chain.

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In CRM & Customer Experience

The SAP Store Now Offers yellow.ai’s Generative AI-powered ChatBots and VoiceBots for Employee and Customer Experience

Yellow.ai, a global leader in Conversational AI announced that its generative AI-powered ChatBots and VoiceBots solution for customer and employee experience automation are now available on SAP Store, the digital marketplace for SAP and partner offerings. Both solutions are built on SAP Business Technology Platform using SAP Integration Suite. While the customer experience (CX) solution integrates with SAP Commerce, SAP Commerce Cloud, SAP CRM Sales, and SAP CRM Service Manager, the employee experience (EX) solution integrates with SAP SuccessFactors Employee Central.

“Leveraging multi-LLM architecture, our generative AI-powered Dynamic Automation Platform is helping enterprises redefine how they connect with both customers and employees, giving them a competitive advantage and valuable ROI at scale,” said Raghu Ravinutala, CEO & Co-founder, Yellow.ai.

Available on SAP Store for a free trial.

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In Supply Chain Management, Berlin

AI-Fueled Satellites Are First-Movers In Launch Of The Space Economy

Just as satellites revolutionized the space age in the 20th century, artificial intelligence (AI) has ignited the newest era in space commercialization with advanced analytics that can make the world’s infrastructure grid safer and more reliable. This latest innovation comes from LiveEO, a startup that delivers AI-powered analytics from satellite imagery of linear grids. The cloud-based service is already helping electric, railway, and pipeline companies detect and act on earthbound risks fast and safely.

“Intelligent satellite-based data is an efficient and eco-friendly way to monitor the ground environment around infrastructure,” said Martina Baccolo, global partner and alliances director at LiveEO. “Using AI to analyze satellite data from the earth’s surface, our solutions help companies identify and locate potential hazards to energy and transportation lines in record time with greater efficiencies.”

Headquartered in Berlin with offices in the US, UK and Latvia, LiveEO primarily serves organizations that operate electric power lines, oil and gas pipelines, and railways. Baccolo said that customers can typically reduce electrical outages by 14% within three years, and decrease operational expenses by 30%. She shared the company’s strategy with me at the International SAP Conference for Utilities in Basel.

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In San Francisco, HR & People Engagement

Censia Talent Intelligence Launches AI-powered Executive Search Tool, Developed With Industry Leader Monica Bua

Censia Talent Intelligence is excited to announce its development of an AI-powered Executive Search tool, created with the guidance of Monica Bua. A distinguished global retained search executive, Bua has worked closely with Censia’s team on the development of Censia Executive Intelligence, an AI tool revolutionizing the landscape of executive search and talent acquisition.

Bringing over 20 years of executive recruitment and emerging product expertise, Bua guides Censia’s technology team in crafting an innovative solution that merges the realms of executive search and artificial intelligence. The new tool, Censia Executive Intelligence, is designed to provide companies with in-depth market and talent insights, instantaneous market mapping, and an unrivaled competitive advantage.

“By using Censia’s Executive Intelligence platform, we can predict with 97% accuracy how an executive will perform in year one at their new organization. Our platform has profiles on more than 550 million executives globally and can codify an executive’s past performance and help place them in the most impactful roles for top organizations. Our AI is designed to identify these difference makers with precision and speed, and with it, we dramatically reduce the placement time to 45 days, with 70% diversity hires.”

Monica Bua is well regarded across the executive search industry for her ability to identify and deliver transformational talent for preeminent organizations. In addition to her deep domain expertise in leadership assessment, Bua is a venture fund investor, a valued advisor, and a board member for numerous leading-edge technology startups. Her knack for understanding client needs and forming enduring relationships with senior leaders from the Fortune 100 has cemented her reputation as a trusted authority in the industry.

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In Bangalore, HR & People Engagement

Delhi startup is using AI to fix challneges in the hiring process

At a time when security concerns and cyber threats are plaguing organizations, employee background verification has become more important than ever. TraqCheck, a Delhi-based startup launched in 2021, aims to make employee background verification more efficient and cost-effective. Founded by Jaibir Nihal Singh and his childhood friends Armaan Mehta and Rishabh Jain, the startup uses AI for the background verification of employees and helps organizations onboard the right people. It uses technology and automation to increase speed, enhance efficiency, reduce human error, and help companies maintain compliance to streamline the background verification process.

“Despite initial feedback from several industry experts suggesting the infeasibility of automating background checks in India, we persisted in building our product and discovered that it was indeed viable. This realisation motivated us to focus on developing the technology and advancing ahead,” Jaibir Nihal Singh, Co-founder of TraqCheck, tells YourStory.

The founders initially invested Rs 6 lakh from personal savings to bootstrap the startup. Currently, the team has about 20 employees. Automating verification solution TraqCheck is an ‘Application Programming Interface (API)-first product that is customizable and can be integrated with any Human Resource System (HRMS) with just a few lines of code.

Singh explains that after getting information about the candidate, it runs a background verification with the data gathered. It then produces results that can be viewed on the dashboard or the client’s HRMS system. The product authenticates and aggregates an individual’s historical information, including their criminal record, education history, previous employment, identity, address, and psychometric results, with meticulous accuracy and a fast turnaround time. It also includes a myriad of bots and algorithms such as the Identity Matching Algorithm, the Employment Verification Bot, and the Forgery Detection Algorithm, amalgamated with an end-to-end automated system, providing organizations with complete background check solutions.

“Our streamlined approach is designed to minimize any additional workload for HR teams, providing them with a convenient and seamless experience, while their advanced system handles the entire background verification process expeditiously,” Singh asserts.

The startup has partnered with OpenAI to build various features such as categorizing criminal records, computer vision for current address verification, and more.

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In Supply Chain Management, Munich

Andonix Introduces Andi, the AI-Powered Manufacturing Chatbot Revolutionizing Factories

 Andonix proudly introduces Andi, the AI-powered manufacturing chatbot designed to bring AI augmentation to factory workers. Andi is an advanced natural language processing solution driven by AI technology, enabling factory workers to engage in human-like conversations and request expert help and support from the chatbot. Andi can assist with tasks such as automatically monitoring machine and process performance, solving problems, and generating action plans, checklists, and work instructions.

Andi can also learn company-specific information like machine operation and troubleshooting manuals, quality systems, HR manuals, and more, providing instant support for specific questions like how to fix particular machine failure codes, identifying the top three problems causing the most downtime in a machine, determining the FTQ for the last hour, or even clarifying company vacation policies. Andi offers unprecedented efficiency, productivity, and real-time guidance for factory teams, streamlining operations and continuously delivering data-driven insights to improve manufacturing outcomes.

Execution Performance Enhanced

Factory worker teams, and managers face numerous challenges, such as monitoring machine performance, addressing equipment downtime, maintaining product quality, ensuring worker safety, and managing resources effectively. These tasks often require real-time decision-making, data analysis, and communication with the workforce, placing significant demands on managers’ time and expertise.

Additionally, managers often need more resources, such as time, personnel, and budget, making it difficult to effectively address all performance monitoring and problem-solving needs. Constant firefighting, crisis management, and managing multiple stakeholders simultaneously leave teams with no time to spare.

Andonix customers have frequently voiced concerns about inefficient communication. Following trending issues and prioritizing urgent matters versus important ones can be extremely challenging using WhatsApp, Email, SMS, phone calls, etc. Communication gaps between different departments, teams, and personnel can hinder the timely exchange of information, slowing down problem detection and resolution.

This is why Andonix created Andi. With Andi, customers can access a manufacturing expert on demand when needed, without delays or constraints; Andi can send timely automatic notifications when a problem or anomaly is detected when monitoring a machine or process. Whether on WhatsApp, Web, iOS, or Android, factory teams can instantly consume performance metrics and access expert help to make informed decisions to solve problems in a way that was impossible just a few months ago.

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In Paris, ERP & Finance

Leanpath Introduces AI-Powered Food Waste Prevention Coaching

Global food waste prevention leader Leanpath is integrating the AI engine behind ChatGPT into its suite of prevention tools as a beta test starting . Its new AI coach assistant will offer users tips on preventing their specific food waste.

Leanpath will be testing the effectiveness of the new technology to help speed food waste prevention efforts.

“While generative AI is still early in its journey, we’re excited about what it can already offer in the food waste prevention space,” says Leanpath Director of Product Brennan Hogan. “We’ll continue to adapt this innovation based on customer feedback and usage.”

“Leanpath’s food waste tracking solutions help thousands of kitchens around the world understand what they’re wasting and why, but it’s what culinary teams do with that data that actually stops food waste,” says Leanpath CEO Andrew Shakman. “That’s why we have Leanpath executive chefs to help train and coach culinary teams. And that’s why we’re testing AI coach assistant as a way to supplement that human intelligence with cutting-edge technology.”

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