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DAS Webinar: Data Architect vs. Data Engineer vs. Data Modeler

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To view just the slides from this presentation, click HERE>>

This webinar is sponsored by:

About the Webinar

The increasing focus on data in today’s organization has increased demand for critical roles such as data architect, data engineer, and data modeler. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will discuss these data-centric roles and their place in the data-driven organization.

About the Speaker

Donna Burbank

Managing Director, Global Data Strategy Ltd

Donna Burbank is a recognized industry expert in information management with over 20 years of experience helping organizations enrich their business opportunities through data and information.  She currently is the Managing Director of Global Data Strategy Ltd, where she assists organizations around the globe in driving value from their data.  She has worked with dozens of Fortune 500 companies worldwide in the Americas, Europe, Asia, and Africa and speaks regularly at industry conferences.  She has co-authored several books on data management and is a regular contributor to industry publications. She can be reached at donna.burbank@globaldatastrategy.com and you can follow her on Twitter @donnaburbank.

This webinar is brought to you in partnership with:

Source: https://www.dataversity.net/das-webinar-data-architect-vs-data-engineer-vs-data-modeler/

Big Data

Capital on Tap apuesta por el software Modellica Originations de GDS Modellica para evaluar los procesos de solicitudes de tarjetas de crédito

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Capital on Tap apuesta por el software Modellica Originations de GDS Modellica para evaluar los procesos de solicitudes de tarjetas de crédito

Capital on Tap, fintech orientada a la financiación de circulante para pymes y autónomos, ha seleccionado el software Modellica Originations, motor de decisiones de alta potencia desarrollado por GDS Modellica, para la gestión de riesgo de crédito por contar con la mejor tecnología de evaluación crediticia.

            La incorporación de Modellica Originations a su cartera de tecnología de decisiones corrobora la estrategia de inversión continua de Capital on Tap para desarrollar su capacidad digital y satisfacer las expectativas de sus clientes en el mercado de las pymes. En un mercado cada vez más competitivo, es esencial proporcionar un servicio satisfactorio, ágil y flexible. Para alcanzar esas cotas de excelencia, la innovación y la mejora continua son las mejores herramientas.

            No es una cuestión baladí otorgar un préstamo, pues esta decisión puede significar la diferencia entre que una empresa pueda crecer o no. Los financiadores de todo el mundo utilizan su experiencia y sus sistemas de software, como Modellica Originations, para evaluar la información del cliente, la información crediticia y los cuadros de mando para decidir acerca de las solicitudes de financiación.

           Para un financiador, el uso de software de GDS Modellica, capaz de integrar de forma eficiente y fiable infinidad de múltiples conjuntos de datos, presenta una gran oportunidad. Tener acceso y utilizar datos de fuentes internas y externas (incluidas las agencias de referencia crediticia) brinda la capacidad de evaluar el riesgo de manera rápida, precisa y tomar decisiones más acertadas. Los solicitantes pueden estar seguros de que las decisiones son justas y se basan en sus circunstancias individuales.

            Según Rubén Vidal, Managing Director de Capital On Tap en España, “en la elección del software GDS Modellica ha primado el hecho de contar con la mejor tecnología de evaluación crediticia que existe en el mercado, para proporcionar a nuestros clientes una experiencia excelente cuando solicitan nuestros productos. Queremos estar al lado de los empresarios y autónomos, para quienes la financiación es una herramienta más en la gestión de su negocio. Por lo que gestionar la financiación no les debería quitar demasiado tiempo. Dar una respuesta ágil sin requerir pasar por tediosos administrativos resulta esencial. “.

            Por su parte, Antonio García Rouco, Director General GDS Modellica EMEA&LAC indicó que “es muy positivo trabajar con Capital on Tap, en un nuevo un proyecto común que aumentará nuestra visibilidad y labor. Nuestros respectivos equipos han forjado y conformado una relación de trabajo excelente, una asociación que aportará un gran valor añadido a ambas organizaciones”.

 

Source: https://www.fintechnews.org/capital-on-tap-apuesta-por-el-software-modellica-originations-de-gds-modellica-para-evaluar-los-procesos-de-solicitudes-de-tarjetas-de-credito/

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Contactless payments market to reach US$ 26.3 billion by 2027

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Contactless Payments Market To Reach US$ 26.3 Billion By 2027

The global contactless payments market is expected to surpass US$ 26.3 Billion by 2027 end, registering a CAGR of 12.9% during the forecast period of 2019 to 2027), as highlighted in a report published by Coherent Market Insights.

Increasing demand for contactless payments from the retail sector is expected to drive market growth during the forecast period. Retailers are modernizing their brick-and-mortar stores to offer secure services to customers and establishing online stores to increase revenue.

They are adopting advanced technologies such as big data analytics and cloud computing to increase their presence in the market. Retail manufacturers are using contactless payments methods that provide many benefits, such as reduced transaction time, increased operational efficiency, increased revenue, minimized cost, and others. Contactless payment methods at retail stores reduce transaction process and queue in counter.

Moreover, governments are also focusing on introducing new payment methods in order to increase productivity and remain competitive in the market. For instance, in December 2016, the government of India launched BHIM app for Unified Payment Interface (UPI). The common UPIbased BHIM app allows the user to send and receive money through their mobile phones by linking their bank accounts. For instance, according to Coherent Market Insights’ analysis, the number of transactions done through the Bharat Interface for Money (BHIM) app reached 18.8 million in February 2020.

Contactless Payments Market – Impact of Coronavirus (Covid-19) Pandemic

According to Coherent Market Insight‘s study, globally, most of the countries are affected by COVID-19 and most of the countries have announced lockdown.Contactless payment have become more preferred payment method, as it requires less physical interactions.

Smartphone based payment interface and digital wallets are the potential solutions to contain the spread of coronavirus pandemic. Moreover, recent developments in digital payments have encouraged the use of contactless payment methods during this pandemic. For instance, in April 2020, Upgrade Inc., a U.S.-based loan company, launched new contactless credit card. The new credit card provides high transaction limit than other payment methods.

Moreover, bank authorities and card network in Germany, U.K., Austria, and other countries have set higher transaction limit, as people are staying at home and prefer shopping through payment cards only. For instance, U.K Finance Limited increased the transaction limit for contactless payment cards starting from 30 Euros to 45 Euros. This, in turn, increases demand for contactless payment solutions.

Key Trends and Analysis of the Global Contactless Payments Market:

  • Europe held dominant position in the global contactless payments market in 2019 and is expected to retain its dominance throughout the forecast period. This is owing to increasing payment through smart cards. For instance, according to the Electronic Transactions Association (ETA), contactless payments through Mastercard and Maestro increased by 145% in Europe in 2018. Furthermore, in 2019, according to Coherent Market Insights’ analysis, the transactions through contactless payment methods reached 651 million in the U.K.
  • Asia Pacific is expected to show significant growth over the forecast period. The increasing adoption of contactless payment methods from retail industry is fueling the market growth. Retailers are modernizing their conventional payment methods with contactless payment methods, in order to improve productivity and efficiency in the business.
  • Among device type, the smartphone segment held dominant position in the market in 2019 and is expected to retain its dominance during the forecast period. This is owing to increasing demand for live streaming from consumers. For instance, the online video streaming market is expected to exceed US$ 70,000 million in 2021 from US$ 30,000 million in 2016.
  • Major players operating in the global contactless payments market include Thales Group, Infineon Technologies AG, Ingenico Group, Wirecard, VeriFone, Inc., Giesecke+Devrient GmbH, IDEMIA, Track Innovations LTD., Identiv, Inc., CPI Card Group Inc., Setomatic Systems, Valitor, PAX, PINPAD, Mobeewave, alcineo, and Paycor, Inc.

Source: https://www.fintechnews.org/contactless-payments-market-to-reach-us-26-3-billion-by-2027/

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AI Weekly: The state of machine learning in 2020

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It’s hard to believe, but a year in which the unprecedented seemed to happen every day is just weeks from being over. In AI circles, the end of the calendar year means the rollout of annual reports aimed at defining progress, impact, and areas for improvement.

The AI Index is due out in the coming weeks, as is CB Insights’ assessment of global AI startup activity, but two reports — both called The State of AI — have already been released.

Last week, McKinsey released its global survey on the state of AI, a report now in its third year. Interviews with executives and a survey of business respondents found a potential widening of the gap between businesses that apply AI and those that do not.

The survey reports that AI adoption is more common in tech and telecommunications than in other industries, followed by automotive and manufacturing. More than two-thirds of respondents with such use cases say adoption increased revenue, but fewer than 25% saw significant bottom-line impact.

Along with questions about AI adoption and implementation, the McKinsey State of AI report examines companies whose AI applications led to EBIT growth of 20% or more in 2019. Among the report’s findings: Respondents from those companies were more likely to rate C-suite executives as very effective, and the companies were more likely to employ data scientists than other businesses were.

At rates of difference of 20% to 30% or more compared to others, high-performing companies were also more likely to have a strategic vision and AI initiative road map, use frameworks for AI model deployment, or use synthetic data when they encountered an insufficient amount of real-world data. These results seem consistent with a Microsoft-funded Altimeter Group survey conducted in early 2019 that found half of high-growth businesses planned to implement AI in the year ahead.

If there was anything surprising in the report, it’s that only 16% of respondents said their companies have moved deep learning projects beyond a pilot stage. (This is the first year McKinsey asked about deep learning deployments.)

Also surprising: The report showed that businesses made little progress toward mounting a response to risks associated with AI deployment. Compared with responses submitted last year, companies taking steps to mitigate such risks saw an average 3% increase in response to 10 different kinds of risk — from national security and physical safety to regulatory compliance and fairness. Cybersecurity was the only risk that a majority of respondents said their companies are working to address. The percentage of those surveyed who consider AI risks relevant to their company actually dropped in a number of categories, including in the area of equity and fairness, which declined from 26% in 2019 to 24% in 2020.

McKinsey partner Roger Burkhardt called the survey’s risk results concerning.

“While some risks, such as physical safety, apply to only particular industries, it’s difficult to understand why universal risks aren’t recognized by a much higher proportion of respondents,” he said in the report. “It’s particularly surprising to see little improvement in the recognition and mitigation of this risk, given the attention to racial bias and other examples of discriminatory treatment, such as age-based targeting in job advertisements on social media.”

Less surprisingly, the survey found an uptick in automation in some industries during the pandemic. VentureBeat reporters have found this to be true across industries like agricultureconstructionmeatpacking, and shipping.

“Most respondents at high performers say their organizations have increased investment in AI in each major business function in response to the pandemic, while less than 30% of other respondents say the same,” the report reads.

The McKinsey State of AI in 2020 global survey was conducted online from June 9 to June 19 and garnered nearly 2,400 responses, with 48% reporting that their companies use some form of AI. A 2019 McKinsey survey of roughly the same number of business leaders found that while nearly two-thirds of companies reported revenue increases due to the use of AI, many still struggled to scale its use.

The other State of AI

A month before McKinsey published its business survey, Air Street Capital released its State of AI report, which is now in its third year. The London-based venture capital firm found the AI industry to be strong when it comes to company funding rounds, but its report calls centralization of AI talent and compute “a huge problem.” Other serious problems Air Street Capital identified include ongoing brain drain from academia to industry and issues with reproducibility of models created by private companies. A team of 40 Google researchers also recently identified underspecification as a major hurdle for machine learning.

A number of conclusions found in the Air Street Capital report are in line with a recent analysis of AI research papers that found the concentration of deep learning activity among Big Tech companies, industry leaders, and elite universities is increasing inequality. The team behind this analysis says a growing “compute divide” could be addressed in part by the implementation of a national research cloud.

As we inch toward the end of the year, we can expect more reports on the state of machine learning. The state of AI reports released in the past two months demonstrate a variety of challenges but suggest AI can help businesses save money, generate revenue, and follow proven best practices for success. At the same time, researchers are identifying big opportunities to address the various risks associated with deploying AI.

For AI coverage, send news tips to Khari Johnson and Kyle Wiggers and AI editor Seth Colaner — and be sure to subscribe to the AI Weekly newsletter and bookmark our AI Channel.

Thanks for reading,

Khari Johnson

Senior AI Staff Writer

Source: https://venturebeat.com/2020/11/27/ai-weekly-the-state-of-machine-learning-in-2020/

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Accendo Banco chooses global fintech infrastructure platform Nium to provide international money transfer capability

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Accendo Banco chooses global fintech infrastructure platform Nium to provide international money transfer capability

Accendo Banco (“Accendo”), Mexico’s leading ‘digital-first’ challenger bank focused on providing innovative digital banking solutions, today announced that it has expanded its capabilities in international payments and remittances, through partnership with Global fintech infrastructure platform Nium.

The partnership further expands Accendo’s overseas money transfer capabilities, allowing its customers to send money to more markets overseas and in real-time[2].  The move supports Nium’s continued plans to utilise fintech tools to improve business efficiency and customer experience in LatAm, and follows several partnership announcements by Nium in Brazil, Costa Rica and El Salvador.

Accendo’s customers will be able to send, through an app, funds overseas to major corridors in Europe and Asia easily, and at a lower FX rate than other banks.  “International transactions services from Mexico were slow and expensive.  The partnership with Nium, together with our unique digital platform, makes us the first bank in Mexico to offer this type of operations to users easily and in real time,” said Javier Reyes de la Campa, CEO and President of the Board of Accendo Banco.

“This partnership also reinforces our positioning as the leading digital-first challenger bank in Mexico, where we are the first bank to offer BaaS (Banking-as-a-service) through our cloud-based open-banking platform to allow Fintechs to offer financial services to all the population, and especially the unbanked”, Javier concluded.

“We are thrilled to be the trusted provider for international money transfer services for Accendo Banco and its customers. In today’s competitive payments environment, cutting-edge technology improves customer experience and sets providers apart,” said Rohit Bammi, Global Head of Institutional Business, Nium.

 “Nium’s mission is to create a global fintech infrastructure that can enable banks, financial institutions and other fintech companies to launch and scale innovative digital financial services without the complexity, time and cost previously required to do so.  This partnership with Accendo Banco is a testament to that effort,” Rohit continued.

Source: https://www.fintechnews.org/accendo-banco-chooses-global-fintech-infrastructure-platform-nium-to-provide-international-money-transfer-capability/

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