From personalization to hyper-personalization and from automation to hyper-automation of the customer journey, the future of CX is all about prediction and delight to attract and retain new consumersThe analysis of interactions through various channels allows the detection of the profile, lifestyle, needs and desires of usersMADRID, Sept. 23, 2024 /PRNewswire/ — Atento Luxco 1 (“Atento” or the “Company”), one of the world’s largest providers of customer relationship management and business process outsourcing (CRM/BTO) services and an industry leader in Latin America, is investing in the evolution from personalization to hyper-personalization and hyper-automation as a way to improve the experience of consumers around the world and drive the generation of new business.

Through Data Science, Analytics and AI resources, Atento focuses on identifying customers’ needs, preferences and emotions in an increasingly deep way with brands. The company is committed to the use of predictive and prescriptive analytics, combined with the hyper-automation of customer service and back office processes, to process large volumes of data quickly and generate actionable insights in real time. 
Thanks to the availability of real-time information, artificial intelligence and advanced analysis tools, it is possible to analyze user interactions at all touchpoints with a brand, allowing you to understand their profile, predict behaviors and anticipate their present and future needs. As a result, this allows the creation of personalized, highly attractive offers, building longer-lasting relationships, increasing audience engagement, which translates into higher conversion rates for companies in addition to adding greater value for the user, creating  personalized and seamless customer journeys.
“We believe that moving beyond personalization is a key transition for companies that want to remain competitive and relevant. We support our customers in this challenge. Customers are eager for deeper personalization, want to be recognized and treated as individuals, and expect an integrated service that provides personalized recommendations capable of proactively identifying potential difficulties, resolving them quickly or even anticipating them. By investing in hyper-personalization and hyper-automation, we offer a direct response to these expectations,” says Dimitrius Oliveira, CEO of Atento.
In addition, consumers value convenience and relevance. To do this, they are willing to share their data in exchange for an exclusive experience. According to an Accenture survey, 91% of people are more likely to buy from companies that offer relevant recommendations. Additionally, according to a McKinsey report, 71% expect personalized interactions and 76% express frustration when their expectations are not met, emphasizing the growing demand for highly individualized experiences.
Hyper-personalization increases revenue by 10% to 15% and up to 25% for the digital native sector (McKinsey, 2021) and, according to research published by Deloitte, up to  80% of customers are more likely to buy from companies that offer a personalized experience.
“While personalization may suggest products based on previous purchases, hyper-personalization anticipates when a consumer may need a specific product by proactively offering it, perhaps even at a special discount, right at the moment they are considering the purchase. In this context, it is necessary that the entire back office is also prepared to guarantee the same agility, for example, when it comes to releasing additional credit, financing or the necessary documentation for a transaction,” highlights the CEO.
About Atento
Atento is the largest provider of customer relationship management and business process outsourcing (“BTO CRM”) services in Latin America and one of the world’s leading providers. Atento is also one of the leading providers of BTO nearshoring CRM services for companies operating in the United States. Since 1999, the company has developed its business model in 17 countries, employing approximately 120,000 people. Atento has more than 400 customers, to whom it offers a wide range of BTO CRM services through multiple channels. Atento’s clients are mostly leading multinational companies in the telecommunications, banking and financial services, healthcare, retail and public administration sectors. In recent years, the company has been recognized for its excellence by several industry analysts in different regions, including Everest (named a “star performer” in 2021), Gartner (recognized as a leader in Customer Service BPO in the Magic Quadrant since 2021), Frost & Sullivan (named a leader in CX Outsourcing in Latin America in 2022) or Forbes (selected as one of the 100 best companies to work for in 2023 in Spain). For more information, visit www.atento.com.
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New AI foundation model offers insights beyond forecasting for scientists, developers, and businesses to better understand and analyze weather and climate data
YORKTOWN HEIGHTS, N.Y., Sept. 23, 2024 /PRNewswire/ — IBM (NYSE: IBM) today announced a new AI foundation model for a variety of weather and climate use cases, available in open-source to the scientific, developer, and business communities. Developed by IBM and NASA, with contributions from Oak Ridge National Laboratory, the model offers a flexible, scalable way to address a variety of challenges related to short-term weather as well as long-term climate projection.

Because of its unique design and training regime, the weather and climate foundation model can tackle far more applications than existing weather AI models, as outlined in a paper recently published on arXiv, “Prithvi WxC: Foundation Model for Weather and Climate.” Potential applications include creating targeted forecasts based on local observations, detecting and predicting severe weather patterns, improving the spatial resolution of global climate simulations, and improving how physical processes are represented in numerical weather and climate models. In one experiment in the above identified paper, the foundation model accurately reconstructed global surface temperatures from a random sample of only five percent original data, suggesting a broader application to problems in data assimilation.
This model was pre-trained on 40 years of Earth observation data from NASA’s Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). As a foundation model, it has a unique architecture which allows it to be fine-tuned to global, regional, and local scales. This flexibility makes it suited for a range of weather studies.
The foundation model is available for download on Hugging Face, along with two fine-tuned versions of the model that tackle specific scientific and industry-relevant applications. These are:
Climate and weather data downscaling: A common meteorological practice is downscaling—inferring high-resolution outputs from low-resolution variables. Typical data inputs include temperature, precipitation, and surface winds, all of which can have varied resolutions. The model can depict both weather and climate data at up to 12x resolution, generating localized forecasts and climate projections. The fine-tuned downscaling model is available on the IBM Granite page on Hugging Face.Gravity wave parameterization: Gravity waves are ubiquitous throughout the atmosphere and can affect many atmospheric processes related to climate and weather, such as cloud formation and aircraft turbulence. Traditionally, existing numerical climate models have not sufficiently captured gravity waves, which leads to uncertainties in terms of how exactly gravity waves can affect climate processes. This weather and climate foundation model can help scientists better estimate gravity wave generation, to improve the accuracy of numerical weather and climate models and constrain uncertainty when simulating future weather and climate events. This gravity wave parameterization model is being released as part of the NASA-IBM Prithvi family of models on Hugging Face.”Advancing NASA’s Earth science for the benefit of humanity means delivering actionable science in ways that are useful to people, organizations, and communities. The rapid changes we’re witnessing on our home planet demand this strategy to meet the urgency of the moment,” said Karen St. Germain, director of the Earth Science Division of NASA’s Science Mission Directorate. “The NASA foundation model will help us produce a tool that people can use: weather, seasonal, and climate projections to help inform decisions on how to prepare, respond, and mitigate.” 
“This space has seen the emergence of large AI models that focus on a fixed dataset and single use case — primarily forecasting. We have designed our weather and climate foundation model to go beyond such limitations so that it can be tuned to a variety of inputs and uses,” said Juan Bernabe-Moreno, Director of IBM Research Europe and IBM’s Accelerated Discovery Lead for Climate and Sustainability. “For example, the model can run both on the entire earth as well as in a local context. With such flexibility on the technology side, this model is well-suited to help us understand meteorological phenomena such as hurricanes or atmospheric rivers, reason about future potential climate risks by increasing the resolution of climate models, and finally inform our understanding of imminent severe weather events.”
“As a premier research institution and computing facility, we’re focused on supporting teams to make research breakthroughs across many areas of science,” said Arjun Shankar, director of the National Center for Computational Sciences at Oak Ridge National Laboratory. “Our collaboration with IBM and NASA to support the creation of the Prithvi weather and climate foundation model was a key part of our goal to bring advanced computing and data to problems of national importance, in this case, for weather and climate applications, which need continued computational science and model skill improvements to be impactful.”
IBM has already collaborated with Environment and Climate Change Canada (ECCC) with a view to test the flexibility of the model with additional weather forecasting use cases. With the model, ECCC is exploring very short-term precipitation forecasts using a technique called precipitation nowcasting that ingests real-time radar data as input. The team is also testing the downscaling approach from global model forecasts at 15 km to km-scale resolution.
This weather and climate model is part of a larger collaboration between IBM Research and NASA to use AI technology to explore our planet, and joins the Prithvi family of AI foundation models. Last year, IBM and NASA made the Prithvi geospatial AI foundation model the largest open-source geospatial AI model available on Hugging Face. This geospatial foundation model has since been used by governments, companies, and public institutions to examine changes in disaster patterns, biodiversity, land use, and other geophysical processes. The foundation model and the gravity wave parameterization model can be accessed through the NASA-IBM Hugging Face page and the downscaling model can be accessed through the IBM Granite Hugging Face page. 
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service.
Media ContactBethany Hill McCarthyIBM Research [email protected] 
Ashley PetersonIBM Research [email protected]     
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NOTTINGHAM, England, Sept. 23, 2024 /PRNewswire/ — In an era where navigating the complexities of digital assets is both exciting and challenging, BITBOT1000 emerges as a beacon of innovation and accessibility. Combining cutting-edge technology with a user-centric approach, this platform is set to transform the way users engage with the digital market.

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What sets BITBOT1000 apart is its sophisticated AI technology, which enables users to make data-driven decisions with precision. The platform’s continuous, automated process ensures that users never miss out on advantageous opportunities, even in a rapidly changing market. By reducing risk and eliminating guesswork, BITBOT1000 positions users for success, regardless of their experience level.
Whether you’re looking to diversify your portfolio with various digital assets or explore the possibilities of other financial instruments, BITBOT1000 offers a seamless and intuitive experience. Its robust, multi-asset platform features one-click execution and instant access to a vast array of tools, making it a preferred choice for both individual users and professional institutions.
With BITBOT1000, users can say goodbye to uncertainty and hello to informed action. The platform’s AI-driven insights and analytics provide a clear path forward, allowing users to harness the power of technology for smarter, more strategic decisions. From real-time market analysis to personalized strategies, BITBOT1000 is redefining what it means to succeed in the digital age.
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[email protected]+4478 8203 8113
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