Fidest – Agenzia giornalistica/press agency

Quotidiano di informazione – Anno 32 n° 302

Posts Tagged ‘intelligence’

Parliament leads the way on first set of EU rules for Artificial Intelligence

Posted by fidest press agency su mercoledì, 21 ottobre 2020

Bruxelles. On Tuesday, MEPs adopted proposals on how the EU can best regulate Artificial Intelligence (AI) in order to boost innovation, ethical standards and trust in technology. The European Parliament is among the first institutions to put forward recommendations on what AI rules should include with regards to ethics, liability and intellectual property rights. These recommendations will pave the way for the EU to become a global leader in the development of AI. The Commission legislative proposal is expected early next year. The legislative initiative by Iban García del Blanco (S&D, ES) urges the EU Commission to present a new legal framework outlining the ethical principles and legal obligations to be followed when developing, deploying and using artificial intelligence, robotics and related technologies in the EU including software, algorithms and data. It was adopted with 559 votes in favour, 44 against, and 88 abstentions.Future laws should be made in accordance with several guiding principles, including: a human-centric and human-made AI; safety, transparency and accountability; safeguards against bias and discrimination; right to redress; social and environmental responsibility; and respect for privacy and data protection.High-risk AI technologies, such as those with self-learning capacities, should be designed to allow for human oversight at any time. If a functionality is used that would result in a serious breach of ethical principles and could be dangerous, the self-learning capacities should be disabled and full human control should be restored.The legislative initiative by Axel Voss (EPP, DE) calls for a future-oriented civil liability framework, making those operating high-risk AI strictly liable for any resulting damage. A clear legal framework would stimulate innovation by providing businesses with legal certainty, whilst protecting citizens and promoting their trust in AI technologies by deterring activities that might be dangerous.The rules should apply to physical or virtual AI activity that harms or damages life, health, physical integrity, property, or that causes significant immaterial harm if it results in “verifiable economic loss”. While high-risk AI technologies are still rare, MEPs believe that their operators should hold insurance similar to that used for motor vehicles.The legislative initiative was adopted with 626 votes in favour, 25 against, and 40 abstentions.

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Libro: “Quantum intelligence”

Posted by fidest press agency su sabato, 17 ottobre 2020

E’ Il libro di Caligiuri e Rocco che anticipa la prossima rivoluzione tecnologica. “Quantum intelligence. Le nuove frontiere dell’informazione per Stati, aziende e persone” è un innovativo libro pubblicato da Rubbettino e scritto da Mario Caligiuri, Presidente della Società Italiana di Intelligence, e da Luigi Rucco, consulente sulla Research Intelligence per una nota azienda nel settore della ricerca scientifica. Si tratta di un saggio di intelligence che, sostengono gli autori, prova ad anticipare quanto presto avremo sotto gli occhi per effetto di quella che viene definita come la “seconda rivoluzione quantistica”. “La Quantum information science – ricordano Caligiuri e Rucco – è un fenomeno di grande importanza, che inciderà in maniera significativa sulle nostre vite. Rappresenta l’utilizzo dei principi della meccanica quantistica per la realizzazione di elaboratori con nuove e potentissime capacità di calcolo, nonché meccanismi di crittografia teoricamente inviolabili”. Secondo gli autori “si verificherà una radicale trasformazione che riguarderà la sicurezza delle informazioni e l’intelligenza artificiale progredirà a ritmi ancora più elevati. Gli algoritmi quantistici determineranno notevoli avanzamenti in diversi settori strategici, come la farmaceutica e la finanza, la logistica e l’energia, la difesa e l’ICT. Se l’impatto di queste tecnologie sarà positivo o negativo, molto dipenderà dalle decisioni che verranno assunte dalle istituzioni politiche, a loro volta influenzate dalle analisi di intelligence che incideranno sia nel settore pubblico che in quello privato, e quindi per ogni singola persona”. In questo quadro, concludono “emerge pienamente il ruolo fondamentale dell’intelligence per affrontare la grande trasformazione già in atto ma della quale ancora non abbiamo percezione”. Il volume è il diciottesimo titolo della Collana del Laboratorio sull’Intelligence dell’Università della Calabria. Mario Caligiuri è professore ordinario all’Università della Calabria. Presidente della Società Italiana di Intelligence, è considerato uno dei massimi esperti europei del settore a livello accademico.Luigi Rocco è consulente sulla ricerca scientifica per uno dei maggiori fornitori di servizi internazionali del settore, seguendo clienti istituzionali in ambito governativo e accademico in Italia, Israele, Francia, Belgio e altri Paesi del Sud Europa.

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Making Artificial Intelligence ethical, safe and innovative

Posted by fidest press agency su domenica, 4 ottobre 2020

MEPs approved proposals to address long-term opportunities and legal challenges posed by AI in the area of ethics, civil liability and intellectual property. The Legal Affairs Committee adopted three reports on Thursday on specific issues linked to the increased development and use of artificial intelligence systems. The Commission is expected to put forward a legislative proposal on the matter in early 2021. The legislative initiative by Iban García del Blanco (S&D, ES) urges the EU Commission to present a new legal framework outlining the ethical principles to be used when developing, deploying and using artificial intelligence, robotics and related technologies in the EU, including software, algorithms and data.MEPs adopted proposals on several guiding principles that must be taken into account by future laws including a human-centric, human-made and human-controlled AI; safety, transparency and accountability; safeguards against bias and discrimination; right to redress; social and environmental responsibility, and respect for fundamental rights. When it comes to AI with machine-learning (self-improving) capacities, it should be designed to allow for human oversight. If a functionality is used that would entail a serious breach of ethical principles and be potentially dangerous for people, the self-learning capacities should be disabled and revert to operating safely.The legislative initiative by Axel Voss (EPP, DE) calls for a future-oriented civil liability framework to be adapted, making those operating high-risk AI strictly liable if there is damage caused. This would encourage innovation by providing businesses with legal certainty, protect citizens better and enhance their trust in AI technologies by deterring risky activities. Strict liability should also apply to AI systems that have repeatedly caused damage.In this text, MEPs focused on civil liability claims against operators of AI-systems. The liability would cover protection of life, health, physical integrity, property as well as significant immaterial harm if it results in “verifiable substantial economic loss”.The report by Stéphane Séjourné (Renew Europe, FR) underlines that the key issue of protecting intellectual property rights (IPRs) in the context of artificial intelligence has so far not been addressed by the EU Commission and calls for an impact assessment on the matter.The report stresses that EU global leadership in AI requires an effective intellectual property system and safeguards for the EU’s patent system to protect developers. MEPs specify that AI should not have legal personality, thus “inventorship” should be only granted to humans. The text further addressed copyright, protection of trade secrets and the distinction between IPR for the development of AI technologies and IPR potentially granted on creations generated by AI.Technical Support Instrument adopted by Budget and Economic and Monetary Affairs committees The Technical Support Instrument will help member states to prepare their recovery and resilience plans, which are required to access funding from the Recovery and Resilience Facility.The text, adopted jointly on Thursday evening by BUDG and ECON committees MEPs, lays down the general and specific objectives of the Technical Support Instrument (TSI), the budget for the period 2021-27, the types of funding accessible through the EU and the rules for receiving such funding. The TSI should support economic recovery after and beyond the COVID-19 pandemic by promoting economic, social and territorial cohesion as well as green and digital transformation and implementation of climate targets. The reforms supported by the instrument should result in more economic resilience, a reduction in poverty, increased competitiveness and should address the country-specific recommendations adopted in the context of the European Semester. In order to meet the general objectives, the TSI will assist national authorities in preparing, implementing, revising and improving their national recovery and resilience plans. The text sets out a list of key actions to be carried out by member states, such as digitalisation of administrative structures, creating re-skilling policies for the labour market and building resilient care systems and coordinated response capabilities. The overall budget of the TSI should be EUR 1 450 000 000 in current prices, divided into two tranches, EUR 1 000 000 000 for the period 2021-2024 and EUR 450 000 000 for 2025-2027 in current prices.In order to receive technical support, a member state should submit a request to the Commission by 31 October of a calendar year, identifying the policy areas they will focus on. Member states should ensure synergies between the TSI and other EU programmes in order to avoid any duplication and overlaps.Technical support should depend on fully complying with the rules to protect the Union’s budget from generalised deficiencies as regards the rule of law in the member states, says the text. TransparencyMEPs want the Parliament to obtain from the Commission the plans followed by biannual implementation reports at the same time as the Council for the purposes of democratic accountability and visibility of European Union action. The report was adopted with 74 votes to 10 and 13 abstentions and the decision to enter inter-institutional negotiations was adopted with 75 votes to 8 and 14

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New committee on Artificial Intelligence begins its work

Posted by fidest press agency su sabato, 26 settembre 2020

On Wednesday, Parliament’s new special committee on Artificial intelligence in a Digital Age (AIDA) held its constitutive meetings and elected its chairs and vice-chairs.Committee members elected Dragoș Tudorache (Renew, RO) as Chair, by acclamation. The bureau will be composed of:First Vice-Chair: Miapetra Kumpula-Natri (S&D, FI), Second Vice-Chair: Geoffroy Didier (EPP, FR), Third Vice-Chair: Edina Tóth (EPP, HU), Fourth Vice-Chair: Birgit Sippel (S&D, DE)“The digital transformation, besides the tremendous benefits it can bring to our citizens, is also an opportunity to strengthen the European Union and to build up our strategic resilience in the face of adversity. Artificial Intelligence (AI) is at the heart of this transformation”, said Dragoș Tudorache.“My first priority will be to ensure that we build and support AI that works for the wellbeing of our citizens. This means, on the one hand, respecting their rights and eliminating biases and discrimination, and it means, on the other hand, ensuring business and industry thrive and generate economic prosperity. We also have an opportunity in AIDA to look at AI diplomacy and at how we can support a European approach to AI on the world scene, alongside likeminded partners who share our values. Last but not least, AIDA plans to look beyond regulation, working on a medium- and long-term strategic plan for AI in Europe”, he added.The Special Committee on Artificial Intelligence in a Digital Age is composed of 33 members. It is mandated to analyse the future impact of artificial intelligence in the digital age on the EU economy, in particular on skills, employment, financial technology, education, health, transport, tourism, agriculture, the environment, defence, industry, energy and e-government. The Committee will hold its first working meeting during the week of 26-30 October.

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COVID-19: Data and Artificial Intelligence can help ease lockdowns

Posted by fidest press agency su mercoledì, 15 aprile 2020

Industry, Research and Energy Committee (ITRE) Chair Cristian Bușoi reacted on Thursday to the Commission recommendation to support lockdown exit strategies through mobile data and apps.
“As soon as the epidemic wave will be behind us, we’ll need to move away from the logic of containments. But easing the lockdowns and getting back to normal will be a huge technical and organisational challenge as the virus will still be among us. We are in favour of making use of the possibilities offered by mobile and data applications, and we support the approach proposed by the Commission” said ITRE Chair Cristian Bușoi (EPP, RO).“In order to overcome this unprecedented crisis, we must test new solutions and make use of innovation and research. Various methods have been used by some countries, with contrasting results. We need to look at what has already been tried, and work according to our principles. We also need to make sure that European citizens are on board. The problem to be solved is to find an effective and efficient way of understanding how the virus spreads and being able to deploy strategies adapted to the different territories” he said.The European Commission proposes a common approach for modelling and predicting the evolution of the virus through anonymised and aggregated mobile location data. “Such use of data must of course take place at European level, because that is where the data will have the critical mass to be effective. We will therefore be vigilant concerning user consent and data protection. We welcome the fact that the European Commission is closely working with the European Data Protection Board” he added.

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MEPs to look into Artificial Intelligence in criminal law

Posted by fidest press agency su giovedì, 20 febbraio 2020

Bruxelles Thursday, 20 February, from 14.00 to 17.30 European Parliament, Antall building, room 4Q2 The use of Artificial Intelligence by the police and judicial authorities, including facial recognition, will be discussed by the Civil Liberties Committee on Thursday.
The hearing will focus on the benefits and risks of Artificial Intelligence (AI) in the criminal law framework, predictive policing, facial recognition, as well as the ethical and fundamental rights implications. The list of speakers includes representatives from the Council of Europe, the United Nations Interregional Crime and Justice Research Institute (UNICRI), the European Union Agency for Fundamental Rights (FRA) and the European Data Protection Supervisor (EDPS). Experts from academia, think tanks and civil society will also speak at the hearing.

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Artificial intelligence: MEPs want to ensure a fair and safe use for consumers

Posted by fidest press agency su venerdì, 14 febbraio 2020

The resolution addresses several challenges arising from the rapid development of artificial intelligence (AI) and automated decision-making (ADM) technologies, with a special focus on consumer protection.Parliament welcomes the potential of ADM to deliver innovative and improved services to consumers, including new digital services such as virtual assistants and chatbots. However, when interacting with a system that automates decision-making, one should be “properly informed about how it functions, about how to reach a human with decision-making powers, and about how the system’s decisions can be checked and corrected”, it adds.Those systems should only use high-quality and unbiased data sets and “explainable and unbiased algorithms”, states the resolution. Review structures should be set up to remedy possible mistakes in automated decisions. It should also be possible for consumers to seek redress for automated decisions that are final and permanent. “Humans must always be ultimately responsible for, and able to overrule, decisions that are taken in the context of professional services such as the medical, legal and accounting professions, and for the banking sector”, MEPs underline.Parliament calls for a risk-assessment scheme for AI and ADM and for a common EU approach to help secure the benefits of those processes and mitigate the risks across the EU. MEPs urge the Commission to table proposals adapting the EU’s safety rules for products (e.g. directives on machinery and toy safety) to ensure that consumers are informed about how to use those products and are protected from harm, while manufacturers should be clear on their obligations.The Product Liability Directive, adopted over 30 years ago, would also need to be revised to adapt concepts such as ‘product’, damage’, ‘defect’ and rules governing the burden of proof, says Parliament.
Under EU law, traders must inform consumers when the price of goods or services has been personalised on the basis of ADM and profiling of consumer behaviour, MEPs recall, asking the Commission to closely monitor the implementation of those rules. The EU must also ensure that ADM is not unduly being used to discriminate against consumers based on their nationality, place of residence or temporary location.The resolution, approved by a show of hands, will be transmitted to the EU Council (member states) and the Commission, so that they take into account MEPs’ views on AI and ADM. The Commission announced that it is due to present its plans for a European approach to AI on 19 February 2020.

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Artificial intelligence: EU must ensure a fair and safe use for consumers

Posted by fidest press agency su sabato, 25 gennaio 2020

Bruxelles. Parliament’s Internal Market and Consumer Protection Committee approved on Thursday a resolution addressing several challenges arising from the rapid development of artificial intelligence (AI) and automated decision-making (ADM) technologies.
When consumers interact with an ADM system, they should be “properly informed about how it functions, about how to reach a human with decision-making powers, and about how the system’s decisions can be checked and corrected”, says the committee.
Those systems should only use high-quality and unbiased data sets and “explainable and unbiased algorithms” in order to boost consumer trust and acceptance, states the resolution. Review structures should be set up to remedy possible mistakes in automated decisions. It should also be possible for consumers to seek human review of, and redress for, automated decisions that are final and permanent.“Humans must always be ultimately responsible for, and able to overrule, decisions” that are taken via ADM processes, especially in relation to the medical, legal and accounting professions and the banking sector, MEPs underline.
AI-enabled products may evolve and act in ways not envisaged when they were first placed on the market. MEPs urge the Commission to table proposals adapting the EU’s safety rules for products (e.g. directives on machinery and toy safety) to ensure that consumers are protected from harm, manufacturers are clear on their obligations and users are informed about how to use those products.The Product Liability Directive, adopted over 30 years ago, would also need to be updated to adapt concepts such as ‘product’ ‘damage’ and ‘defect’ as well as rules governing the burden of proof, says the committee.MEPs call for a risk-assessment scheme for AI and ADM and for a common EU approach to help secure the benefits of those processes and mitigate the risks across the EU.Under EU law, traders must inform consumers when the price of goods or services has been personalised on the basis of ADM, MEPs recall, asking the Commission to closely monitor the implementation of those rules. It must also check how the EU regulation banning unjustified geo-blocking is applied to ensure that ADM is not being used to discriminate against consumers based on their nationality, place of residence or temporary location.

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I vincitori dell’hackathon AIRtificial Intelligence di Leonardo e Aeronautica Militare

Posted by fidest press agency su martedì, 17 dicembre 2019

Il team TORNADO è stato eletto vincitore dalla Giuria al termine delle 48 ore che hanno visto sfidarsi ben nove gruppi nella realizzazione di soluzioni di assistenza virtuale per ottimizzare gli interventi manutentivi e addestrativi applicabili ai sistemi aeronautici, il tutto grazie all’intelligenza artificiale. Il team TORNADO, premiato dal Generale Giovanni Fantuzzi, rappresentava una start-up pisana nata dallo spin-off di un’azienda già operante nel settore dell’automazione industriale. Secondo classificato – che ha ricevuto anche la menzione speciale per la capacità di saper fare squadra – è stato il team AVANTI composto da candidati che si sono iscritti singolarmente e che hanno accettato di organizzarsi in un gruppo di lavoro.
All’iniziativa “AIRtificial Intelligence” di Leonardo e dell’Aeronautica Militare, che si è avvalsa della partnership tecnologica di Oracle, hanno partecipato: 40 tra start up, sviluppatori e ricercatori, 70 tra mentor, tutor e personale di supporto che hanno collaborato all’iniziativa, con 9 proposte prototipali presentate suddivise in 3 categorie di use case. Le soluzioni più promettenti emerse dall’hackathon saranno sperimentate e sviluppate da subito per mettere – in breve tempo – a disposizione dei manutentori aeronautici strumenti e tecnologie efficaci e all’avanguardia.
“Intelligenza Artificiale e Machine Learning sono e saranno tecnologie sempre più pervasive, non solo in ambito militare ma anche in quello civile. In Oracle queste tecnologie sono studiate e applicate da tempo, sia ad esempio per evitare l’errore umano – come nel caso del “Autonomous Database” – sia per prendere decisioni informate dai dati, per esempio nell’ambito manutentivo e addestrativo come è emerso nell’hackathon. – ha commentato Alessandro Ippolito, Technology Country Leader di Oracle Italia, intervenuto all’evento. “Per le realtà che operano in mondo sempre più ‘data driven’ si aprono quindi nuove frontiere e opportunità di crescita e sviluppo. Per Oracle AI e ML rappresentano un fattore non sostitutivo ma abilitante del potenziale umano e della società, perché sono a sostegno delle persone per lavorare e vivere meglio, prendere decisioni meglio informate, evitare errori e lavorare in modo meno ripetitivo e più soddisfacente.”

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Almirall and Iktos announce research collaboration in Artificial Intelligence for new drug design

Posted by fidest press agency su domenica, 15 dicembre 2019

Almirall, S.A. (ALM), a leading skin-health focused global pharmaceutical company, and Iktos, a company specialized in Artificial Intelligence for novel drug design, today announced a collaboration agreement in Artificial Intelligence (AI) , where Iktos generative modelling AI technology will be used to design novel optimized compounds, to speed up the identification of promising drug candidates for an undisclosed Almirall drug discovery program(s).Iktos’ AI technology, based on deep generative models, helps bring speed and efficiency to the drug discovery process, by automatically designing virtual novel molecules that have the desirable characteristics of a novel drug candidate. This tackles one of the key challenges in drug design: rapid and iterative identification of molecules which simultaneously validate multiple bioactive attributes and drug-like criteria for clinical testing.Iktos has recently announced several collaborations with biopharmaceutical companies where Iktos AI technology is used to accelerate the design of promising compounds, and has published, at the EFMC 2018 meeting, an experimental validation of the technology in a real-life drug discovery project. Iktos generative modelling SaaS software, Makya™, is now available on the market, and Iktos intends to release its retro-synthesis SaaS platform Spaya™ as a beta version, before the end of 2019.

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Global Artificial Intelligence Market in the Telecommunication Industry 2019-2023

Posted by fidest press agency su sabato, 7 dicembre 2019

The global artificial intelligence market in the telecommunication industry is expected to post an incremental growth of USD 2.54 billion during the period 2019-2023, according to the latest market research report by Technavio.
The performance of equipment like mobile towers improve through regular maintenance. It also enables cost saving, according to industry experts, within the telecommunication sector. AI systems help in making accurate predictions of equipment failure before it occurs by collecting and analyzing data from multiple sources. This allows telecom companies to minimize downtime and improve effectiveness. It is particularly helpful for mobile towers, providing surveillance to structures that are difficult to access. Hence, the use of AI can help telecom enterprises in effective predictive maintenance, which in turn, will boost the global market growth during the forecast period.Global Artificial Intelligence Market in the Telecommunication Industry: Rising Investments in 5G Network 5G network technology enhances download speeds, enables networks to connect to various devices and improves response time. It is the latest mobile wireless technology which is an upgraded version of the 4G network. AI will help 5G providers to optimize their investments, improve operations and maintenance efficiency, and reduce cost. Thus, with an increase in investment in the 5G network, the market for AI is also expected to grow in the telecommunication industry.

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Cerebras Systems Unveils CS-1, the Industry’s Fastest Artificial Intelligence Computer

Posted by fidest press agency su sabato, 23 novembre 2019

Cerebras Systems, a company dedicated to accelerating Artificial Intelligence (AI) compute, today unveiled its CS-1 system, the world’s fastest AI computer. With every component optimized for AI work, the CS-1 delivers more compute performance at less space and less power than any other system. At only 26 inches tall, the CS-1 fits in one-third of a standard data center rack, but replaces clusters of hundreds or thousands of graphics processing units (GPUs) that consume dozens of racks and use hundreds of kilowatts of power.
In August, Cerebras delivered the Wafer Scale Engine (WSE), the only trillion transistor wafer scale processor in existence. The Cerebras WSE is 56.7 times larger and contains 78 times more compute cores than the largest GPU, setting a new bar for AI processors. The CS-1 system design and Cerebras software platform combine to extract every ounce of processing power from the 400,000 compute cores and 18 Gigabytes of high performance on-chip memory on the WSE. In AI compute, chip size is profoundly important. Big chips process information more quickly, producing answers in less time. However, exceptional processor performance is necessary but not sufficient to guarantee industry leading AI performance. Innovative, high performance processors, like the WSE, must be combined with dedicated hardware systems and extraordinary software to achieve record-breaking performance. For this reason, every aspect of the Cerebras CS-1 system and the Cerebras software platform was designed for accelerated AI compute.
Cerebras is the only company to undertake the ambitious task of building a dedicated system from the ground up. By optimizing every aspect of chip design, system design, and software, the CS-1 delivers unprecedented performance. With the CS-1, AI work that today takes months can now be done in minutes, and work that takes weeks now can be completed in seconds. Not only does the CS-1 radically reduce training time, but also it sets a new bar for latency in inference. For deep neural networks, single image classification can be accomplished in microseconds, thousands of times faster than alternative solutions. Early customer deployments include Argonne National Laboratory where the CS-1 is being used to accelerate neural networks in pathbreaking cancer studies, to better understand the properties of black holes, and to help understand and treat traumatic brain injuries. The sheer performance of the CS-1 makes it an exceptional solution for the largest and most complex problems in AI.

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Debuts World’s First Arabic Medical Artificial Intelligence

Posted by fidest press agency su giovedì, 14 novembre 2019

Nala, Saudi Arabia’s leading digital health service, announced the launch of its artificial intelligence platform that enables instant medical diagnosis in Arabic. The platform will provide users with an accurate medical diagnosis within seconds. To further its growth, Nala has raised $1m in its first financing round. Nala’s new platform will be an addition to Nala’s current digital health service, which provides users with instant access to personalized healthcare through a mobile app. Over 50,000 people have used Nala, a number that is growing exponentially. Dozens of licensed doctors have helped in the development of the new platform. With this new technology, patients can now receive instant medical diagnoses with an extreme precision that alleviates human error. It is currently available through Nala’s mobile app.
Nala is a Saudi-based corporation established as one of the private enterprises to solve the challenges of Vision 2030. Since its launch in February, it has quickly become the region’s leading digital health service. Featured multiple times by the minister of communication and information technology, and the winner of numerous awards, Nala’s app is consistently ranking first in app stores.To strengthen Nala’s growth, The company has raised $1m in its first financing round. AlAraby Investment, which led the funding, is a Dubai-based investment group that invests in high-growth companies. With the funding, Nala will continue to grow its user base, further strengthening its position as the region’s top digital health service. Othman Abahussein, founder and CEO of Nala, commented: “Our mission is to reduce the cost of healthcare by a tenfold while providing exceptional healthcare experience.” He continued: “Our whole team is in Riyadh, and all of our human capital investments go into local talent. We made a bet on local talent, and I can say with full confidence that it pays very well.”

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Intelligence to Improve Corporate Hotel Rate Projections

Posted by fidest press agency su domenica, 10 novembre 2019

HRS, the leading Global Hotel Solutions end-to-end technology provider in business travel, today introduced innovative hotel rate projection technology powered by Augmented Artificial Intelligence (AAI). HRS is the first technology company using AAI in support of corporate hotel programs, and one of the few companies using AAI today. Managed travel programs of any size are challenged to ensure the preferred hotel rates they negotiate are competitive. Yet, most of the benchmarks used today are general averages, with other data options often overwhelming or insufficient for final sourcing determinations. As a result, too many companies leave potential savings on the table. HRS, which already sources more global hotel room nights than any travel management company or other outsourced provider, now deploys a higher level of benchmarking and precise rate projection on behalf of its clients. With AAI driving new insights, programs have more leverage in typical hotel negotiations, helping corporations save ten percent or more in their top business destinations. Procurement leaders working with HRS have newfound, more accurate insight as they build 2020 lodging budgets, finalize preferred rates, and integrate those rates into search and book channels.

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Breedon Group plc Transforms Financial Processes With Rimilia’s Artificial Intelligence Software

Posted by fidest press agency su sabato, 2 novembre 2019

Rimilia, a financial technology company, today announced that Breedon Group plc, the leading construction materials group in Great Britain and Ireland, implemented Rimilia Cash™ to automate their cash application processes and make their credit collection teams more effective.Breedon operates 80 quarries, 2 cement plants, 40 asphalt plants, 170 ready-mixed concrete and mortar plants, 9 concrete and clay products plants, 4 contract surfacing businesses, 6 import/export terminals, and 2 slate production facilities.
The Breedon Group was searching for ways to more efficiently manage their large volume of payments and the resource-heavy process required to apply these payments. They selected Rimilia Cash, an artificial intelligence (AI) software, to alleviate some of the manual burden of matching payments to invoices.Rimilia Cash was implemented across Breedon Group’s entire business and integrated with their accounting system, Infor SunSystems. As a result, Breedon Group was able to auto-match 82% of their payments and significantly reduce the amount of unapplied cash. The credit collection teams are now more efficient and have access to more accurate information, plus the Breedon Group was able to increase cash flow.

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Dais X Announces Intent to Merge Consulting Platform with Artificial Intelligence Business

Posted by fidest press agency su giovedì, 10 ottobre 2019

Dais X, a leading digital transformation partner to middle-market companies, today announces that it intends to merge its consulting and software product development platform with Dais AI, an artificial intelligence (AI) company purpose-built to help clients capitalize on digital business opportunities through the development of custom AI solutions and technologies.
“As shown by our steady growth over the past three years, Dais X continues to gain momentum, marked by strong progress on our strategic initiatives and client successes,” said Neal Davis, President and Chief Executive Officer. “With these foundations in place, we are now ideally positioned to merge with Dais AI and create one leading company. In alignment with our strategic plan, the decision to combine these businesses will allow Dais X to sharpen its focus as a leading digital transformation partner to middle-market companies.”

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“Augmented Analytics: Future of Business Intelligence”

Posted by fidest press agency su mercoledì, 9 ottobre 2019

The report has been added to ResearchAndMarkets.com’s offering.Augmented analytics technology leverages machine learning (ML)/artificial intelligence (AI) and natural language generation (NLG) to enhance data analytics process by automating data analysis and sharing the insights in a intuitive visual format.The technology is primarily aimed at empowering non-technical/non-data scientist users to effectively perform data analytics on their own without any data skills. The users can easily derive insights from augmented analytics solutions by just simple drag and drop or with a single click of a button which will boost productivity. The other objective of the technology is to free up technical analysts and data scientists from running routine and basic reports, empowering them to charge ahead and tackle more complex queries and data science projects.

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FinFit’s Intelligence-Driven Financial Wellness Platform Motivates Employees

Posted by fidest press agency su venerdì, 20 settembre 2019

FinFit, a FinTech company that provides over 125,000 employers with a unique financial wellness benefit platform, has overhauled the platform to focus on predictive AI, feature enhancements and ease of use for members. FinFit announced its mobile-first focus in July, updating FinFit.com with a sleek new look and improved functionality. The user experience for members follows suit, creating a smart, seamless journey site-wide from information-gathering to ultimate financial health improvement. Dozens of customer interviews were conducted by a design firm that specializes in user experience transformation. FinFit leveraged the findings to reinvent its financial wellness platform. Members can log in to FinFit via facial recognition, fingerprint technology and various other mobile-friendly options. The FinFit experience begins with a personal financial health assessment which identifies each member’s financial goals and current financial situation. This differentiator enables FinFit to provide unique recommendations and next steps tailored to each member, unlike other programs that offer generic solutions that may not be relevant or necessary.Each FinFit member journey is AI-driven, utilizing data to determine the best ‘next steps’ to help each member achieve financial stability. A new member rewards program encourages members to explore FinFit, awarding points for completing actions that will improve their financial acumen.The need to provide clearer direction for employees has led to the new financial health score, categorized based on the key pillars of financial wellness: spend, save, borrow and plan. Members receive an overall score, but they’ll also have visibility into how they’re performing in each of the four categories. This data helps drive the ‘next best action’ engine, ensuring that each member is uniquely positioned to improve their financial position and achieve greater financial health.

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Pactum Launches Artificial Intelligence Tool for Commercial Negotiations

Posted by fidest press agency su domenica, 15 settembre 2019

Launching Pactum is an AI-based system that helps global companies to autonomously offer personalized, commercial negotiations on a massive scale. The Mountain View, California company, with engineering and operations in Estonia, has raised an initial $1.15 Million in pre-seed funding to augment negotiation and AI capabilities as well as scale operations. Pactum has also filed the patent this week related to its technology IP. Inefficient contracting has been estimated to cause firms to lose between 17% to 40% of the value on a given deal, depending on circumstances, according to research by KPMG. Pactum’s AI helps companies improve their bottom line by implementing bespoke negotiation services for large volumes of incremental partners in every market, that might have previously been unmanaged. Augmented artificial intelligence evaluates agreement terms and offers an unbiased resolution that can result in either business development or renewed agreements where both parties have been equally evaluated to support a fair deal. Based off of historical data, terms are suggested and discussed through an auto generated chat-like interface to generate a contract that is then ready for review and sign off.
The system is designed to align the values of both the Pactum client and their vendor by initially appraising each possible trade-off in the partnership. Thereafter it uses best-practice strategies to instigate a negotiation with the vendor in an easy-to-use chat interface. Through the system, win-win trade-offs are determined, with terms including payment time, cancellation terms, pricing, etc. The web-based tool’s applications range from supplier negotiations for online marketplaces to enterprise and retail procurement negotiations.

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Mapp Digital presenta Mapp Intelligence

Posted by fidest press agency su sabato, 14 settembre 2019

Con il lancio di “Mapp Intelligence powered by Webtrekk” Mapp è entusiasta di introdurre sul mercato una piattaforma intuitiva che fornisce precisi customer insight alle aziende, in particolare dei settori e-commerce, retail, finance ed editoria. Questa innovazione è un passo importante verso l’integrazione del software di customer intelligence e marketing analytics di Webtrekk con Mapp Cloud, a seguito dell’acquisizione dell’azienda berlinese a inizio 2019.
Mapp Intelligence powered by Webtrekk arricchisce il portfolio dell’azienda e va ad aggiungersi alle piattaforme Mapp Engage, motore di marketing automation cross-canale, e Mapp Acquire (DMP), per fornire ai marketer informazioni dettagliate sul comportamento online degli utenti. La soluzione di customer intelligence che rende possibile raccolta, analisi e attivazione di dati di prima parte è il “cervello” del marketing cloud di Mapp. Mapp Intelligence powered by Webtrekk comprende le seguenti funzionalità:
• Intelligenza Artificiale: con l’uso dell’Intelligenza Artificiale i marketer possono prevedere in maniera accurata il customer lifetime value e le probabilità di conversione e abbandono del proprio sito, prevedendo i futuri trend di vendita e adeguando gli investimenti di marketing. La funzione Smart Alert rileva anomalie dei dati e le notifica automaticamente, permettendo di rilevare allo stesso tempo sia trend positivi, sia bug e malfunzionamenti per eliminarli il prima possibile.
• Customer Insight: identificazione di modelli comportamentali e presentazione degli stessi tramite dashboard facilmente personalizzabili. La funzione Path Analysis consente di visualizzare il customer journey e la prestazione di vendita dei prodotti per ottimizzare le strategie di comunicazione sui diversi canali.
• Web Personalization: la personalizzazione del sito web permette di presentare in tempo reale contenuti altamente rilevanti per gli utenti. Sulla base di specifici modelli comportamentali o profili utente predefiniti si possono attivare banner e overlay pubblicitari e assicurare la miglior customer experience possibile.
• Product Recommendation: Mapp Intelligence fornisce suggerimenti altamente personalizzati sulla base del comportamento d’acquisto di ciascun utente. Coloro che stanno per abbandonare il carrello vengono persuasi a finalizzare l’acquisto con offerte mirate direttamente sul sito web.
• Audience Stream: dati e segmenti di audience raccolti da siti web, app, email e social media vengono unificati e trasmessi in tempo reale a terze parti per realizzare campagne di remarketing personalizzate. http://www.martinengocommunication.com

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