Kenco Announces Davinci AI Product That Provides Advanced Analytics Capabilities

Kenco | August 31, 2020

Today, Kenco Logistics, North America’s leading third-party logistics provider, announces the introduction of DaVinci AI, a product that provides advanced analytics capabilities spanning the entire supply chain. This innovative product enables solutions to produce predictive insights that drive prescriptive actions, transforming the supply chain. DaVinci AI, a foundational component of Kenco's digital transformation strategy, actively delivers customized solutions for intelligent visibility and transparency within the supply chain. For example, within warehouse operations, DaVinci AI can be used to proactively manage volume fluctuations, thus improving inventory management, and assessing market volatility to prescribe the ideal labor plan. Within the material handling arena, the product can predict equipment failure from all factors impacting maintenance to prevent lost time and productivity.

Spotlight

This paper describes how data scientists and developers can build an application to predict flight delays using a Get-Build-Analyze methodology and IBM® Analytics for Apache Spark , a managed Apache Spark service, with interactive Jupyter Notebooks. The application uses machine learning (Spark MLlib), fueled by publicly available airplane flight data and enriched with weather data, to predict flight delays due to weather conditions. In the event that a delay is likely, the app can also help determine the degree to which the flight will be delayed.


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DATA SCIENCE

ODSC West 2021 to Become the Largest Hybrid Data Science and Machine Learning Conference this November 16-18

ODSC | August 04, 2021

ODSC West 2021, the latest in the largest machine learning conference series for learning applied data science, will return to its in-person format for the first time in almost two years this November 16th-18th in San Francisco, California. This event is expected to bring in 2000 people together across all three days. ODSC West 2021 will offer more than 200 training sessions and workshops led by the best industry experts in data science and thought leaders from top companies striving to advance the state of the art. With the goal of enriching and training the largest data science, artificial intelligence, and machine learning community around the country, ODSC West 2021 will focus on the most in-demand and emerging trends in the field, such as machine and deep learning, NLP, computer vision, predictive analytics, data visualization, and cybersecurity. Past speakers include Cassie Kozyrkov, Michael I. Jordan, Kurt Keutzer, and other experts in the field of data science and AI from reputable organizations such as Google, UC Berkeley, and Microsoft. Focus areas for this year’s conference include: Deep Learning and Deep Reinforcement Learning Data Engineering and MLOps Cybersecurity and Machine Learning Responsible AI and AI for Social Good Machine Learning Hands-on Training Artificial Intelligence Research Foundations In addition to the workshops and machine learning training sessions, ODSC West 2021 will feature a number of bonus events, such as the Ai+ Career Lab & Expo, where 30+ hiring partners will be in attendance to hire the best and brightest data scientists they can find. November 17th-18th will also feature the Virtual AI Expo, a special event for startups, business professionals, executives, investors, and technologists who seek to build and grow the AI-driven enterprise. All talks and attending companies will highlight specific industries, such as AI for healthcare, finance, climate, and more. Currently scheduled companies include HP, Microsoft, Intel, SAS, Mathworks, Algorithmia, DataRobot, Saturn Cloud, and more to come. For any interested data science professionals who are unable to attend in-person, ODSC is partnering with the eventX.ai platform to bring a virtual component to the event. This virtual conference will feature a number of talks and training sessions designed to provide in-depth training to anyone interested in ODSC West but are unable to travel to the convention hall. There will also be a virtual Career Expo and AI Expo component as well. P.S. Register with code ODSC_Media7 today to get an additional discount on your ODSC West in-person or virtual pass. More on ODSC: Open Data Science Conference (ODSC) is the leader of applied data science conferences. Our conferences bring industry leaders, key executives, start-up companies, engineers, and investors on the threshold of innovation together. For more information about the conference, its content, and its partners visit ODSC.com/california, or contact the ODSC Content Marketing Manager, Alex Landa, directly at alex.l@odsc.com.

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BUSINESS INTELLIGENCE

Ascent acquires European data engineering powerhouse, BiLD Analytics

Ascent | April 04, 2022

Ascent, a leading European digital services business, has announced the acquisition of data engineering (DE) and business intelligence (BI) services business BiLD Analytics. This latest acquisition is another milestone in Ascent’s ambitious growth strategy to create a powerful combination of advanced data capabilities, software and cloud skills to help customers build digital muscle. Based in Lisbon, Portugal, BiLD was founded in 2018 and has since established a high-profile customer base that includes TripAdvisor, MercedesBenz.io, Bain & Co, New Signature, Billigence, and Avanade. A critical facet of the decision to acquire is BiLD‘s core engineering capabilities, which are precisely aligned with Ascent’s focus. BiLD’s data engineers hold deep certifications in Microsoft Azure, Databricks and Snowflake with complimentary data visualisation skills in Tableau, PowerBI and Qlik. BiLD’s founder and managing partner, Diogo Dias, will become part of the Ascent leadership team, overseeing the rapid expansion of Ascent’s strategic Portuguese talent hub. Led by CEO Stewart Smythe, Ascent now employs more than 420 people worldwide and supports over 180 customers, including BrewDog, the Crown Estate, Centrica (Hive) and BDO. BiLD is the second data business to become part of the Ascent family and its multi-skilled teams will enable the company to seize new market opportunities driven by a rapidly increasing global demand for digital services. "There’s a real innovation surge in our target market right now that is focussed on rebuilding customer experience, both physical and digital – and data is right at the heart of this movement. Acquiring BiLD extends our reach into nearshore EU talent hubs and will help us meet the mushrooming demand for engineering services we’re seeing as our customers increasingly prioritise driving value from their data.” Stewart Smythe, CEO at Ascent For Smythe, selecting BiLD was a decision contingent on alignment of technical vision and quality of delivery. “I’ve looked at a large number of similar businesses across Europe over the last 12 months and BiLD really stood out – both because of the depth of its Azure and Databricks capabilities and its growth ambition and potential. We’ve been working in partnership with them for a number of months and have been really impressed by the quality of their work and people." Diogo Dias, Founder and Managing Partner at BiLD said: "We’re delighted to join the Ascent team, blending our expertise in data engineering with Ascent's scale and maturity in digital solution development, best practices and methodologies. Becoming part of Ascent will allow us to keep building on our specialism in ecosystems like Azure and Databricks whilst enabling us to scale faster - and naturally I am excited about the new career opportunities this brings to our teams." Simon Hitchcock, Managing Partner at Horizon Capital concluded: "Acquisitions like BiLD that create scale in the most market-relevant technical skillsets will accelerate Ascent’s organic growth. Under Stewart Smythe’s direction we are creating a real contender in the digital services market that is founded on technical substance. BiLD’s data engineering capabilities are a catalyst for future growth – we're excited to support Ascent as it continues to identify and integrate high quality, high-performing technical businesses." About Ascent Ascent is a leading European digital services business, helping organisations connect data, software, cloud and purpose to drive extraordinary outcomes. Ascent’s mission is to help clients build new business capabilities with technology, solving problems, unlocking potential, creating opportunity and improving experience. Its teams of experts apply skills including software and data engineering, new product development, business intelligence, advanced analytics and data science, cloud, IoT and ML to help clients redefine and strengthen the relationship between business and digital.

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DATA VISUALIZATION

Privitar Announces Strategic Partnership with Data Integration and Management Leader Denodo to Advance Modern Data Provisioning

Privitar | April 20, 2022

Privitar, the leader in modern data provisioning, today announced a strategic partnership with Denodo, the leader in data integration and management software. With this new partnership, Privitar and Denodo are aligning to advance modern data provisioning and put safe data at the core of any data mesh and logical data fabric powered by data virtualization. “For an organization to be able to maximize their use of data for analytics, it needs to be both safe and accessible to the right people, at the right time. By combining Privitar’s domain expertise in data privacy and modern data provisioning with Denodo’s leadership in data virtualization we‘re creating a force multiplier effect, enabling organizations to take an agile approach to creating, managing, governing, and protecting data products – then safely leverage that data for analytics within their organizations and beyond.” Mike Foster, Vice President of Technology Partners at Privitar Organizations are increasingly embracing data mesh and data fabrics as the basis of their modern architecture stacks, taking advantage of their ability to democratize both data access and management. By treating data as a product, it can be built once and reused in different analytical workloads rather than repeatedly re-inventing data integration pipelines to create that same information for different analytical systems. Data virtualization has risen to the fore as a key enabler of data mesh architectures, being leveraged to produce, consume, and govern data products. Similarly, for any enterprise data fabric, data virtualization ensures less data copying and data replication, thus ensuring faster time-to-insights, better adherence to compliance, and stricter data governance. Safe, trusted data must be at the core of these systems to ensure that data remains safeguarded. The combination of Denodo’s data virtualization and Privitar’s data privacy and provisioning solutions will enable organizations to manage and provision data products and sensitive data; automatically and transparently enforce governance policies based on the user, the location sensitivity, and intended purpose data; and remain compliant with relevant regulations and legislation. “Denodo’s logical approach to data integration and management brings agility and flexibility, and can help organizations address the growing, layered complexities of data integration, management, and delivery,” said Suresh Chandrasekaran, Executive Vice President, Denodo. “Our partnership with Privitar will enable organizations to automatically and transparently allow sensitive data to be consistently governed while remaining protected and compliant with legislation. We’re empowering organizations to unlock the value of distributed data, no matter where it lives, using the power of data virtualization and privacy-enhancing technology.” About Privitar Privitar empowers organizations to use their data safely and ethically. Our modern data provisioning solution builds collaborative workflows and policy-based data privacy and access controls into data operations. Only Privitar has the right combination of technology, domain expertise, and best practices to support data-driven innovation while navigating regulations and protecting customer trust. About Denodo Denodo is the leader in data virtualization providing agile, high performance data integration, data abstraction, and real-time data services across the broadest range of enterprise, cloud, big data, and unstructured data sources at half the cost of traditional approaches. Denodo’s customers across every major industry have gained significant business agility and ROI by enabling faster and easier access to unified business information for agile BI, big data analytics, Web, cloud integration, single-view applications, and enterprise data services. Denodo is well-funded, profitable, and privately held.

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BIG DATA MANAGEMENT

Denodo Recognized as an Enterprise Data Fabric Leader by Independent Analyst Firm Evaluation

Denodo | June 27, 2022

Denodo, a leader in data management, today announced that Forrester Research, Inc., a leading independent technology and market research company, has positioned Denodo as a Leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2022. According to the report, “Denodo is best fit for customers that are focusing on an enterprise-wide data fabric strategy to support BI, data collaboration, customer intelligence, data engineering, data science, IoT analytics, operational insights, and predictive analytics use cases.” The complete and complementary report, published on June 23, is available here. The Wave revealed that organizations want real-time, consistent, connected, and trusted data to support their critical business operations and insights. However, new data sources, slow data movement between platforms, rigid data transformation workflows, and governance rules, expanding data volume, and distributed data across clouds and on-premises, can cause organizations to fail when executing their data strategy. Forrester VP, Principal Analyst and author of the report, Noel Yuhanna wrote, “Denodo Technologies has been a longtime player in data virtualization and now supports data fabric with expanded integration, management, and delivery capabilities to support self-service BI, advanced analytics, and enterprise data services.” With some of the best in class and latest innovations, Denodo Platform offers: An augmented data catalog to facilitate data exploration, discovery, improved collaboration and data governance. Active metadata-based historical analysis, which serves as the foundation for AI processes. A semantic layer with extended metadata to enrich traditional technical information with business terms, tags, status, or documentation, to fuel improvements in self-service, security, and governance across all data assets. AI-based recommendations to learn from usage and simplify the entire lifecycle of the data management practice, including development, operations, performance tuning, etc. DataOps and multi-cloud provisioning to reduce management and operational cost and enable the system to be cloud-vendor agnostic. “We are thrilled to see our position as a leader in the Forrester Wave for Enterprise Data Fabric. “Most of our customers, including many Fortune 500, use our platform to build their enterprise data fabric for use cases such as IoT analytics, customer intelligence, fraud detection, real-time analytics, operational insights and many more, which are all areas where Denodo received the maximum score possible. We are looking forward to continuing to help organizations across the world unleash their data-driven decision making power to create an enterprise level logical data fabric.” Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo About Denodo Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self-service BI, data science, hybrid/multi-cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo’s customers across large enterprises and mid-market companies in 30+ industries have received payback in less than 6 months.

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Spotlight

This paper describes how data scientists and developers can build an application to predict flight delays using a Get-Build-Analyze methodology and IBM® Analytics for Apache Spark , a managed Apache Spark service, with interactive Jupyter Notebooks. The application uses machine learning (Spark MLlib), fueled by publicly available airplane flight data and enriched with weather data, to predict flight delays due to weather conditions. In the event that a delay is likely, the app can also help determine the degree to which the flight will be delayed.

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