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Siliconangle
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Data-driven storytelling: Ingka Group’s path to operational excellence
- Ingka Group is leveraging data-driven insights to optimize customer order flows and enhance process efficiency.
- The company started engaging with Celonis over three years ago to improve transparency and make data-driven conclusions.
- Striving for a seamless customer experience, Ingka Group focuses on preventing imperfections and enhancing efficiency.
- Data is used to create narrative storytelling and inspire change within the organization.
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Siliconangle
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Transforming supply chain dynamics: Celonis champions cross-company process intelligence
- Process intelligence is crucial for the successful implementation of artificial intelligence.
- Celonis champions cross-company process intelligence, allowing companies to gain a deep understanding of underlying processes.
- Companies are adopting advanced application programming interfaces (APIs) for real-time data exchange in process intelligence.
- Creating trust and transparency through virtual private process groups enables effective collaboration and continuous improvement.
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Precisely
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2025 Planning Insights: Data Quality Remains the Top Data Integrity Challenge and Priority
- Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations.
- Data trust is impacted by data quality issues, with 67% of organizations saying they don’t completely trust their data used for decision-making.
- Data quality is the top data integrity priority in 2024, cited by 60% of respondents.
- 64% of respondents say data quality is their top data integrity challenge, compared to 50% in 2023.
- 50% of respondents again report that data quality is the number one issue impacting their organization’s data integration projects.
- 77% of respondents say their data quality is average at best.
- Inadequate tools for automating data quality processes is the number one factor keeping organizations from achieving high-quality data (49%).
- Inconsistent data definitions and formats also continue to plague businesses (45%).
- Data privacy and security challenges remain high in the 2024 survey at 46%, compared to 41% last year.
- Data quality is the biggest challenge to data integrity and negatively affects other initiatives meant to improve data integrity among organizations.
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Cloudera
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Meet Michelle Hoover, Cloudera’s new SVP of Global Alliances and Channels
- Cloudera has promoted Michelle Hoover to Senior Vice President of Global Alliances & Channels.
- The promotion comes as the company commits to its partner ecosystem's growth strategy.
- Michelle brings over 20 years of experience to her new role, including management and executive positions at Confluent, Red Hat, and Oracle.
- One of Michelle's objectives is to build a robust system integrator partner business.
- Michelle wants to ensure that Cloudera's partner ecosystem can generate services and grow with the company.
- Michelle's goal is to make sure system integrator partners and independent software vendors are successful with Cloudera.
- Michelle advises partners to trust the vendors they partner with when considering newer technologies such as AI.
- Cloudera's partner ecosystem delivers best-of-breed technology solutions to joint customers from the biggest names in the industry.
- Cloudera is known for fostering collaboration with partners, growing relationships, and innovating for the future.
- Michelle loves the outdoors, nature, competitive sports, like tennis, and spending time with her family.
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TechBullion
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Building a Data-Driven Marketing Strategy Requires Precision
- Creating a data-driven marketing strategy requires understanding that working with data is not just about collecting information and using it to drive marketing campaigns effectively.
- Keitaro Tracker offers functionalities that make data-driven marketing accessible and actionable.
- 78% of marketers believe that data-driven strategies significantly contribute to their company’s success.
- Data-driven marketing allows marketers to tailor their messages, improve customer experiences, and optimize the entire marketing funnel.
- Companies using data-driven approaches are six times more likely to retain customers and 23 times more likely to outperform their competitors in acquiring new customers.
- Collecting relevant information that provides insights into the target audience’s behavior, preferences, and needs is crucial.
- Keitaro Tracker facilitates audience segmentation by providing advanced filtering options.
- Data-driven content creation involves using data insights to craft compelling and relevant messages.
- Keitaro Tracker allows marketers to set up campaigns easily, track performance metrics in real-time, and generate customizable reports.
- Keitaro Tracker provides various automation features, including S2S postbacks for seamless data integration and API support for custom scripts.
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Siliconangle
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Palantir shares surge over 12% on strong earnings and raised revenue outlook
- Shares in Palantir Technologies rose more than 12% after reporting strong earnings and raising its revenue outlook.
- In its fiscal third quarter, Palantir reported adjusted earnings per share of 10 cents, beating expectations.
- Palantir's customer growth contributed to its strong performance, with 104 deals closed worth more than $1 million.
- Palantir expects revenue of $767 million to $771 million for its fiscal fourth quarter and raised its full-year revenue outlook.
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Dzone
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The Modern Era of Data Orchestration: From Data Fragmentation to Collaboration
- Data engineering and software engineering have long been at odds, each with their own unique tools and best practices. In this article, we'll explore the role data orchestrators play and how recent trends in the industry may be bringing these two disciplines closer together than ever before.
- Data orchestration serves to provide a principled approach to composing systems with complexity coming from many sources of data, destinations, stakeholders, and use cases for data products, and heterogeneous tools and processes involved with creating the end product.
- Orchestration is required to coordinate between three high-level capabilities, ingestion, transformation, and serving.
- Workflow engines enable data engineers to specify explicit orderings between tasks, running scheduled tasks much like cron, and watching for external events that should trigger a run.
- The future of data orchestration is moving toward composable data systems. Standardization around open standards for data formats, such as Apache Parquet and Apache Arrow, enables native "data sharing" without all the glue code.
- Apache Iceberg and other open table formats are building upon the success of Parquet by defining a layout for organizing files so that they can be interpreted as tables, providing governance controls to build an authoritative source of truth while benefiting from the zero-copy sharing that the underlying formats enable.
- In a closed system, the data warehouse maintains its own table structure and query engine internally, while an open, deconstructed system standardizes its lowest-level details, allowing businesses to pick and choose the best vendor for a service while having the seamless experience that was previously only possible in a closed ecosystem.
- Orchestration is the backbone of modern data systems and is tasked with untangling complex and interconnected processes. By embracing composability, organizations can simplify governance and benefit from the greatest advances happening in the industry.
- Cloud providers have been adding compatibility with open data system standards, which is helping pave the way for the best-of-breed solutions of tomorrow.
- New trends in open standards offer a fresh take on how these dependencies can be coordinated by building systems from the ground up to share data collaboratively, leading organizations to rethink the way that data is orchestrated and build the data products of the future.
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Cloudera
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Unlocking Faster Insights: How Cloudera and Cohere can deliver Smarter Document Analysis
- Cloudera and Cohere have released a new accelerator for PDF document analysis, leveraging Command R LLM and FAISS.
- Document analysis is crucial for extracting insights from large volumes of text, and the new accelerator aims to make the process easier and more efficient.
- The accelerator utilizes Cohere's Command R LLM, a collection of pre-built components, and FAISS for efficient similarity search and clustering of dense vectors.
- The collaboration between Cloudera and Cohere aims to make it easier to deploy high-performance AI applications.
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Dzone
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Digitalization of Airport and Airlines With IoT and Data Streaming Using Kafka and Flink
- The digitalization of airports faces challenges such as integrating diverse legacy systems, ensuring cybersecurity, and managing the vast amounts of data generated in real time.
- Data streaming with Apache Kafka and Flink enables airport and aviation systems to process and analyze real-time data from various sources, such as flight information, passenger movements, and baggage tracking, enhancing operational efficiency and passenger experience.
- Continuous processing of incoming events in real-time enables transparency and context-specific decision-making.
- Airport digitalization efforts focus on enhancing passenger experiences, optimizing operations, and enhancing security measures through the use of advanced technologies like IoT, AI, and real-time data analytics.
- Operational efficiency can be achieved through automation via IoT sensors, paperless processes, and software innovation.
- Sustainability and energy management in an airport can be significantly enhanced by using Apache Kafka and Apache Flink to stream and analyze real-time data.
- Real-time data sharing via Kafka between airport and airlines as well as other B2B partners like retail stores help in improving services and the overall experience of the passengers.
- Real-world success stories of data streaming with Apache Kafka and Flink in aviation industry include Amsterdam Airport, Lufthansa, Southwest Airlines, Cathay Pacific, and many others.
- Apache Kafka and Flink plays a crucial role in modernizing the IT infrastructure with cloud-native hybrid cloud architecture and enabling data-driven business process automation and innovation in the aviation industry.
- Data streaming at any scale to provide consistent, real-time data enables downstream applications to build reliable operational and analytical systems.
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TechBullion
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Ganesh Kumar Murugesan: Pioneering Cloud Cost Management and Data Engineering
- Ganesh Kumar Murugesan, Assistant Director at Northwestern Mutual, is an exemplary leader in cloud computing and data engineering. He has over 17 years of experience in the tech industry and has become a thought leader in cloud cost optimization and data platform modernization.
- Ganesh's academic background includes a Master’s Degree in Data Analytics from Georgia Institute of Technology and B.Tech in Industrial Biotechnology.
- His hands-on expertise in technologies like databases (DB2, SQL Server, Teradata, Oracle), data integration platforms (Informatica, Databricks, Spark), and modern programming languages (Python, Java, JavaScript, R) has been valuable in leading and delivering complex projects.
- At Northwestern Mutual, he leads two platform engineering teams tasked with developing a Unified Data Platform. His work ensures seamless integration of machine learning models into the company’s data processing and enables data-driven decision-making.
- Ganesh's research on cloud repatriation, presented at IEEE SoutheastCon 2024, highlights the emerging trend of some companies shifting from cloud environments back to on-premise infrastructure to curb escalating cloud costs. Cloud cost increases, mismanaged resources, and egress fees were identified as the driving factors behind cloud repatriation.
- Ganesh emphasizes the need for enterprises to optimize their cloud expenditures by right-sizing resources, using spot and reserved instances, adopting serverless computing, employing storage lifecycle management, and minimizing data transfer fees.
- Ganesh's work has earned him several industry accolades, including the Bronze Globee® Winner for IT Project Leader of the Year, the Global Leader of The Year in Cloud & Data, and the Innovative Leadership in Strategic Planning Award.
- His deep understanding of financial regulations has enabled him to design secure, compliant, and resilient cloud and data platforms that protect sensitive client information while remaining efficient and cost-effective.
- Ganesh has a talent for mentoring and developing junior engineers, driving agile solution delivery and leading large, cross-functional teams to success.
- Ganesh's research on cloud repatriation and his expertise in cloud cost management have practical relevance, and his thought leadership serves as a critical guide for organizations grappling with the complexities of cloud computing.
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Amazon
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Fine-grained access control in Amazon EMR Serverless with AWS Lake Formation
- AWS has introduced general availability of its fine-grained access control based on Lake Formation for Amazon EMR Serverless on Amazon EMR 7.2, enhancing data governance and security frameworks.
- Fine-grained access control restricts access to specific data subsets, protecting sensitive information and maintaining regulatory compliance.
- EMR Serverless users can now enforce data access controls using Lake Formation when reading data from Amazon S3, allowing for robust data processing workflows and real-time analytics without the overhead of cluster management.
- Use cases for fine-grained access control in analytics include customer 360, financial reporting, healthcare analytics, and supply chain optimization.
- The integration supports modern data lake architectures, such as data mesh, by providing a seamless way to manage and analyze data.
- The solution overview involves setting up a centralized data lake in a primary AWS account, while allowing controlled access to this data from secondary AWS accounts, using cross-account fine-grained access control.
- AWS EMR Serverless with Lake Formation uses Spark resource profiles to create two profiles and two Spark drivers for access control.
- A performance overhead can be expected after enabling Lake Formation, and the level of access and amount of data filtered will have a significant impact on query performance.
- Cleaning up the resources is recommended to avoid incurring ongoing costs after use.
- The approach simplifies data management in the main account while carefully controlling how users access data in other secondary accounts.
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Cloudera
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Looking Back on Our First Women Leaders in Technology Event
- Cloudera recently launched its Women Leaders in Technology (WLIT) initiative, aimed at connecting women and allies in tech leadership roles to help women enter and thrive in the tech industry.
- During the EVOLVE New York event, the WLIT group participated in a panel discussion about the challenges facing women leaders and how to overcome them.
- Some of the key takeaways from the discussion included starting early in a STEAM field, finding a mentor to help grow your career, and not putting limits on what you're capable of achieving.
- According to Forbes Reporter Zoya Hasan, women in technology should not be viewed as a statistic, but rather people in technology who happen to be women.
- The WLIT program aims to create a forum for women and girls to demonstrate that it is possible to succeed and thrive in the tech industry, and to promote networking opportunities and insight into fostering a stronger, more diverse workforce.
- The initiative goes beyond Cloudera's Womens+ ERG efforts to cultivate an inclusive environment that supports women's skills and leadership potential through mentoring, collaboration, recruiting, and retention.
- Cloudera's WLIT group seeks to connect, inspire, and elevate women leaders both internally and across different industry sectors.
- Overall, the WLIT initiative seeks to provide insight into policies and programs that can help foster diversity and inclusion in the tech industry.
- Cloudera encourages women interested in its WLIT program to join its LinkedIn group and learn more about the initiative.
- This event marks the first in a series of events Cloudera will be hosting as part of its WLIT initiative.
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TechBullion
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NAKIVO Backup & Replication: Reliable and Fast Data Backup for Businesses
- NAKIVO Backup & Replication is an all-in-one data protection solution for IT infrastructures of any size, type, and complexity.
- Proper threat investigation and prevention push organizations to look for reliable data protection measures.
- NAKIVO’s set of advanced backup, recovery, security, and management features is available at an affordable cost with a 15-day free trial, which makes this solution suitable for SMBs and large enterprises alike.
- It has a small resource footprint compared to most other corporate data backup solutions on the market, which helps SMBs and enterprises save on hardware costs.
- NAKIVO Backup & Replication regularly receives updates to extend its functionality and feature set.
- NAKIVO Backup & Replication integrates with multiple storage destinations to enable backup tiering and supports the following types of backup repositories.
- You can view the planned, ongoing, and past backup and recovery jobs and configure workflows according to your current requirements.
- NAKIVO Backup & Replication can help organizations protect their backups and data from ransomware and unauthorized access.
- It can help you cut recovery times with instant VM recovery, cross-platform recovery between VMware and Hyper-V environments, bare metal recovery, restoring physical machines as VMware vSphere VMs (P2V), direct recovery from tape and more.
- NAKIVO customers can choose between two licensing models and a 15-day free trial is also available.
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Amazon
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Integrate Amazon Bedrock with Amazon Redshift ML for generative AI applications
- Amazon Redshift has introduced support for integration of large language models (LLMs) via its Redshift ML feature, and has natively integrated with Amazon Bedrock for generative AI applications using popular foundation models: Anthropic’s Claude, Amazon Titan, Meta’s Llama 2, and Mistral AI.
- Redshift users can perform generative AI tasks like language translation, text summarization, text generation, customer classification and sentiment analysis on their data using LLMs from simple SQL commands with no model training or provisioning required.
- Redshift users can integrate LLMs into their analytical workflows to perform generative AI tasks on their data using Anthropic’s Claude, Amazon Titan, Meta’s Llama 2, and Mistral AI.
- Redshift ML makes it possible for Redshift users to harness the transformative capabilities of LLMs with integration from Amazon Bedrock.
- The integration allows Redshift to use LLMs for text summarization, language translation, sentiment analysis, text generation and customer classification via simple SQL commands.
- The integration supports Anthropic’s Claude, Amazon Titan, Meta’s Llama 2, and Mistral AI as popular foundation models for Redshift users to use.
- Redshift users can freely use the CREATE EXTERNAL MODEL command to point to a text-based model in Amazon Bedrock, and easily invoke these models using familiar SQL commands.
- The integration is very powerful and allows users to perform generative AI tasks like language translation, text summarization, text generation, customer classification, and sentiment analysis on Redshift data.
- The integration enables Redshift users to harness the transformative capabilities of modern LLMs that are useful in improving their workflows.
- The combination of Redshift with Amazon Bedrock is an efficient method for using LLMs, and the integration with Amazon Bedrock for generative AI applications will be beneficial to businesses that use data analytics workflows on Redshift.
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TechBullion
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Technology Galloping Forward, Threats Following Pace
- Technology advancements attract cybercriminals exploiting vulnerabilities such as those in IoT devices and mobile apps, besides using AI-powered cyberattacks.
- Companies are major cybersecurity concerns due to higher digital data and a shift to remote work; data breaches, ransomware attacks and insider threats are most common.
- Individuals are affected with various cybersecurity issues such as identity theft and social engineering attacks.
- Regular updates and multi-factor authentication should be adopted to add an extra layer of security while avoiding suspicious links and messages.
- Businesses should provide cybersecurity training to employees, and individuals need to stay informed about the latest scam techniques to minimize the risks of cyber-attacks.
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