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Big Data News
NullTX
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AI And Big Data-Associated Tokens Like $TOKEN, $BOTTO And $AGIX Surge Amid Wider Crypto Market Momentum
- Tokens associated with AI and Big Data projects are experiencing significant gains amidst a bullish wave in the cryptocurrency market.
- Notable gains include $BOTTO (+87% in the past week), $TOKEN (+87% in the past week), and $AGIX (+40% in the past week).
- Whale 0x900, a prominent investor, withdrew $1.63 million worth of AGIX tokens from Binance.
- Despite a minor decline of 4% in the past 24 hours, AI-associated tokens showcase investor interest in innovative technologies.
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Analyticsinsight
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How do Big Data and AI Work Together- Unleashing the Strategies
- Big Data and AI collaborate to unlock strategic insights in today's data-driven world.
- Data collection and processing: Big Data provides the raw material for AI algorithms to extract valuable insights from various sources.
- Predictive analytics and forecasting: AI algorithms can accurately anticipate future trends and outcomes by analyzing previous Big Data.
- Personalization, automation, risk management, healthcare, and environmental sustainability are some areas where Big Data and AI make significant impacts.
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TechBullion
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Cloud SQL to BigQuery: Data Migration and Integration
- Cloud SQL is Google's managed relational database service, while BigQuery is a serverless data warehouse.
- To migrate data from Cloud SQL to BigQuery, there are several methods available.
- You can use Google Cloud Dataflow for stream and batch data processing.
- Another option is to use Google Cloud Datastream for Change Data Capture (CDC) to replicate data.
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TechBullion
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Benefits and Challenges of Data Warehousing in the Cloud
- Data warehousing in the cloud offers numerous benefits and challenges.
- Benefits include increased collaboration, ease of scalability, and reduced costs.
- Challenges include complexity for non-tech users, data quality maintenance, and performance issues.
- Overall, data warehousing in the cloud is an efficient and cost-saving method, but it raises concerns about data quality and ease of use.
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TechBullion
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Decile Launches Second Generation Predictive Models, Revolutionizing Customer Data Analytics
- Decile has launched its second generation predictive models.
- The new models use machine learning and proprietary data to forecast customer attributes.
- The models analyze individualized customer-level data for accurate insights.
- Decile's models have demonstrated a 4x increase in accurately predicting valuable customer segments.
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Cloudera
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Data Architecture and Strategy in the AI Era
- AI adoption is on the rise, with organizations focusing on increased productivity, operational efficiency, customer experience, and supply chain optimization
- Challenges to AI adoption at scale include data quality and availability, scalability and deployment, integration with existing systems, and change management
- The keys to successful AI implementation include modern data architecture, unified data management, and flexible, secure data platforms
- Hybrid data management approach and multicloud capabilities are crucial for organizations to adapt to change and harness the full potential of AI
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Atlan
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Image Credit: Atlan
Data Governance Is A Top Priority For 65% Of Data Leaders – Insights From 600+ Data Leaders For 2024
- Data governance is a top priority for 65% of data leaders in 2024.
- Generative AI excites 54% of data leaders, but challenges remain in delivering its potential.
- 56% of data leaders are increasing their D&A budgets for 2024.
- Only 11% of data leaders connect team ROI to business outcomes.
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Analyticsinsight
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Python Big Data Exploration & Visualization: A Guide
- Python has emerged as a versatile tool for exploring and visualizing big data.
- Essential libraries for big data exploration with Python include Pandas, NumPy, and Matplotlib.
- Data cleaning and preprocessing are important steps before conducting exploratory data analysis (EDA).
- Python supports advanced data visualization techniques and offers best practices for big data exploration.
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Siliconangle
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Image Credit: Siliconangle
Activeloop raises $11M to grow its specialized tensor database for AI training and inference
- Activeloop, a creator of a specialized tensor database for AI training and inference, has raised $11 million in Series A funding.
- The funding round was led by Streamlined Ventures, with participation from Y Combinator, Samsung Next, Alumni Ventures, and Dispersion Capital.
- Activeloop's database platform, Deep Lake, is designed to streamline the flow of unstructured information into machine learning and large language models.
- The funds will be used to onboard more enterprise customers and expand the engineering team.
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Cloudera
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Don’t Get Left Behind in the AI Race: Your Easy Starting Point is Here
- The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024.
- Cloudera has a long and successful history as an industry leader in Machine Learning, offering a comprehensive AI stack and Lakehouse architecture.
- Cloudera introduces the Enterprise AI Fast Start, a time-limited offer that removes complexity and accelerates AI applications for enterprises.
- The Enterprise AI Fast Start includes Cloudera professional services, access to Cloudera Machine Learning platform, and on-demand CML training.
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Siliconangle
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Bedrock Security raises $10M to enhance big data security with AI-based reasoning
- Bedrock Security, a data security startup, has raised $10 million in a seed funding round led by Greylock.
- The company has launched its frictionless data security platform, utilizing an AI Reasoning Engine to protect sensitive information without disrupting business operations.
- Bedrock's AI-powered reasoning improves data visibility, data detection and response, and minimizes data risk surface.
- The funding will accelerate the development of Bedrock Security's platform to meet the demands of modern organizations implementing generative AI.
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Siliconangle
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Foundational nabs $8M to help developers fix data quality issues faster
- Foundational Data Inc. has raised $8 million in a seed funding round led by Viola Ventures and Google LLC’s Gradient Ventures fund.
- The startup has launched its platform for troubleshooting data quality issues, which helps developers identify inaccuracies in business information and detect root causes of data quality problems.
- Foundational's platform maps out all the code interacting with a company's datasets, detects potential errors, generates remediation suggestions, and creates a log of database changes for issue analysis.
- The funding will be used to enhance the platform and expand customer acquisition efforts.
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Cloudera
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#ClouderaLife Employee Spotlight: Jess Hohn-Cabana
- Jess Hohn-Cabana has been appointed as Cloudera's new Senior Vice President of Global Communications.
- Jess brings almost 30 years of experience in tech communications and branding to her new role.
- Her goal is to transform Cloudera into a globally recognized brand and position them as a thought leader in the industry.
- Jess was recently honored as a Leader in Ragan Communications' list of Top Women in Communications for 2024.
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Siliconangle
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Circular.co raises $10.5M to facilitate recycling at large scale
- Circular.co has raised $10.5 million to expand its platform for recycling at a large scale.
- The funding will be used to expand the platform to include paper and metals, add more customers and suppliers, and enhance its features.
- Circular.co aims to streamline the purchase and sale of post-consumer recycled (PCR) materials, addressing the need for businesses to meet plastic reduction and net-zero emissions targets.
- The company has built a database of over 9,000 global suppliers and more than 50,000 PCR technical records, providing a single-pane-of-glass solution to create consistency of supply, price, and quality.
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Bigdataanalyticsnews
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The Strategic Imperative of Big Data Analytics in Workforce Scheduling
- The role of big data in workforce scheduling is transforming it from a chore to a strategic advantage.
- Companies like Walmart, Starbucks, and UPS have seen efficiency and cost savings through data-driven scheduling.
- Big data analytics leads to increased productivity, reduced labor costs, and improved employee engagement.
- The adoption of big data analytics in scheduling is imperative for organizations to remain agile and competitive.
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