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Zendesk Invests in Tymeshift to Improve WFM Solutions

#artificialintelligence

Leading Customer Support Ticket System and Sales CRM platform Zendesk has invested in Tymeshift. Tymeshift is an Omnichannel Workforce Management (WFM) tool that is made exclusively for Zendesk. Tymeshift will use the new funding to push for growth in new markets. At the time of this investment, David Birchmier, CEO- Tymeshift, shared his vision for the company's future. David said, "We're proud of the organic growth we've achieved and are excited to leverage Zendesk's investment to accelerate our product innovation pace and continue to grow our teams in Fairfield, Iowa, Lisbon, Portugal, and Novi Sad, Serbia. In short, we're focused on making our WFM solution even more comprehensive."


Zendesk Invests in Tymeshift to Improve WFM Solutions

#artificialintelligence

Leading Customer Support Ticket System and Sales CRM platform Zendesk has invested in Tymeshift. Tymeshift is an Omnichannel Workforce Management (WFM) tool that is made exclusively for Zendesk. Tymeshift will use the new funding to push for growth in new markets. At the time of this investment, David Birchmier, CEO- Tymeshift, shared his vision for the company's future. David said, "We're proud of the organic growth we've achieved and are excited to leverage Zendesk's investment to accelerate our product innovation pace and continue to grow our teams in Fairfield, Iowa, Lisbon, Portugal, and Novi Sad, Serbia. In short, we're focused on making our WFM solution even more comprehensive."


Serbia to get strategy for artificial intelligence soon

#artificialintelligence

During her visit to the Science Fund, Brnabic pointed out that the Draft Strategy for the Development of Artificial Intelligence has been completed and that a public debate starts today, noting that Serbia will adopt the said document by the end of the year. By doing so, we will become one of the twenty countries that have an AI strategy in the world. This does not mean that we will only be leaders in the region, but also outside the region, in Central and Eastern Europe, she said. Serbia will immediately start implementing the strategy, said the Prime Minister, adding that our country's potential in this area is already recognised in the world. Serbia is more and more recognised as a country that has much to offer the world in innovation – the fourth industrial revolution, digitalisation, science, education, Brnabic concluded.


Chinese elite police join Serbian units in first European drills as Beijing's influence spreads to Balkans

The Japan Times

SMEDEREVO, SERBIA – Chinese special police took part in their first joint training drills in Europe on Thursday, joining Serbia's elite anti-terrorist unit and local police in an exercise at a Chinese-owned steel mill outside Belgrade. Machine gun fire and stun grenade blasts shook the plant in Smederevo, some 60 km east of the Serbian capital, as police from the two countries used three helicopters and 20 armored vehicles in a staged raid to rescue hostages. Serbia's interior minister, Nebojsa Stefanovic, said he planned more cooperation with Chinese law enforcement agencies, saying Serbia was "learning from a bigger and stronger" country. "China is not only our strategic partner, but also … a friendly and a brotherly country," he told reporters. Some 180 special police officers from China's Henan province participated in the exercise at the mill, which was bought by China's Hesteel in 2016 and employs a number of Chinese citizens.


Huawei surveillance: Chinese snooping tech seen spreading to nations vulnerable to abuse, keeping tabs on trouble-makers

The Japan Times

BELGRADE – When hundreds of video cameras with the power to identify and track individuals started appearing in the streets of Belgrade as part of a major surveillance project, some protesters began having second thoughts about joining anti-government demonstrations in the Serbian capital. Local authorities assert the system, created by Chinese telecommunications company Huawei, helps reduce crime in the city of 2 million. Critics contend it erodes personal freedoms, makes political opponents vulnerable to retribution and even exposes the country's citizens to snooping by the Chinese government. The cameras, equipped with facial recognition technology, are being rolled out across hundreds of cities around the world, particularly in poorer countries with weak track records on human rights where Beijing has increased its influence through big business deals. With the United States claiming that Chinese state authorities can get backdoor access to Huawei data, the aggressive rollout is raising concerns about the privacy of millions of people in countries with little power to stand up to China.


ML-Photonica 2019 – Machine Learning In Photonics Workshop

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This will be held in parallel to the Photonica 2019 Conference (www.photonica.ac.rs). If you are having trouble viewing this on your mobile, switch to Desktop Site version for the best viewing experience.


Using AI and machine learning to monitor transactions – Center for Financial Professionals

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I have over 25 years of experience in senior technology roles in payments and capital markets space, where I have developed and launched innovative, award winning digital payment and stock trading solutions. I won TD Bank Group's "Inventor of the year" 2017 award, and I lead TD's Enterprise Payments Technology Innovation team. I have a master's degree in Electrical Engineering with major in Computer Science from the University Of Belgrade. The very definition of machine learning is that it is a software system which is able to adapt to new circumstances and to detect and extrapolate patterns, based on previously observed data (learning), without need to change the rules encoded inside the software. As such, it has significant potential in being applied to monitoring transactions – in payments, capital markets and insurance as well.


Comparing Multilayer Perceptron and Multiple Regression Models for Predicting Energy Use in the Balkans

arXiv.org Machine Learning

Global demographic and economic changes have a critical impact on the total energy consumption, which is why demographic and economic parameters have to be taken into account when making predictions about the energy consumption. This research is based on the application of a multiple linear regression model and a neural network model, in particular multilayer perceptron, for predicting the energy consumption. Data from five Balkan countries has been considered in the analysis for the period 1995-2014. Gross domestic product, total number of population, and CO2 emission were taken as predictor variables, while the energy consumption was used as the dependent variable. The analyses showed that CO2 emissions have the highest impact on the energy consumption, followed by the gross domestic product, while the population number has the lowest impact. The results from both analyses are then used for making predictions on the same data, after which the obtained values were compared with the real values. It was observed that the multilayer perceptron model predicts better the energy consumption than the regression model.


Synechron launches AI data science accelerators for FS firms

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These four new solution accelerators help financial services and insurance firms solve complex business challenges by discovering meaningful relationships between events that impact one another (correlation) and cause a future event to happen (causation). Following the success of Synechron's AI Automation Program – Neo, Synechron's AI Data Science experts have developed a powerful set of accelerators that allow financial firms to address business challenges related to investment research generation, predicting the next best action to take with a wealth management client, high-priority customer complaints, and better predicting credit risk related to mortgage lending. The Accelerators combine Natural Language Processing (NLP), Deep Learning algorithms and Data Science to solve the complex business challenges and rely on a powerful Spark and Hadoop platform to ingest and run correlations across massive amounts of data to test hypotheses and predict future outcomes. The Data Science Accelerators are the fifth Accelerator program Synechron has launched in the last two years through its Financial Innovation Labs (FinLabs), which are operating in 11 key global financial markets across North America, Europe, Middle East and APAC; including: New York, Charlotte, Fort Lauderdale, London, Paris, Amsterdam, Serbia, Dubai, Pune, Bangalore and Hyderabad. With this, Synechron's Global Accelerator programs now includes over 50 Accelerators for: Blockchain, AI Automation, InsurTech, RegTech, and AI Data Science and a dedicated team of over 300 employees globally.


Synechron Launches AI Data Science Accelerators for the BFSI sector

#artificialintelligence

Synechron the global financial services consulting and technology services provider, has announced the launch of its AI Data Science Accelerators for Financial Services, Banking and Insurance (BFSI) firms. These four new solution accelerators help financial services and insurance firms solve complex business challenges by discovering meaningful relationships between events that impact one another (correlation) and cause a future event to happen (causation). Following the success of Synechron's AI Automation Program – Neo, Synechron's AI Data Science experts have developed a powerful set of accelerators that allow financial firms to address business challenges related to investment research generation, predicting the next best action to take with a wealth management client, high-priority customer complaints, and better predicting credit risk related to mortgage lending. The Accelerators combine Natural Language Processing (NLP), Deep Learning algorithms and Data Science to solve the complex business challenges and rely on a powerful Spark and Hadoop platform to ingest and run correlations across massive amounts of data to test hypotheses and predict future outcomes. The Data Science Accelerators are the fifth Accelerator program Synechron has launched in the last two years through its Financial Innovation Labs (FinLabs), which are operating in 11 key global financial markets across North America, Europe, Middle East and APAC; including: New York, Charlotte, Fort Lauderdale, London, Paris, Amsterdam, Serbia, Dubai, Pune, Bangalore and Hyderabad.