The document provides an overview of investment trends in the smart cities sector. It analyzes the number of companies founded each year, funding amounts and rounds raised over time. The top investments in the past year are listed, with Sigfox raising the most at $160 million. Information on the types of subsectors attracting interest and the most active investors like Cisco Investments is also presented.
Tracxn - Top Business Models - Blockchain Industry Applications - Mar 2022Tracxn
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Tracxn - Top Business Models - Artificial Intelligence Industry Applications ...Tracxn
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Tracxn - Top Business Models - Blockchain Industry Applications - Mar 2022Tracxn
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Tracxn - Top Business Models - Artificial Intelligence Industry Applications ...Tracxn
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Tracxn - Top Business Models - Big Data Industry Applications - Mar 2022Tracxn
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Tracxn - Top Business Models - Semiconductors - Sep 2021Tracxn
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Tracxn - Top Business Models - Robotics Industry Applications - Dec 2021Tracxn
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Tracxn - Top Business Models - Israel Tech - Mar 2022Tracxn
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Tracxn - Top Business Models Report - Europe Tech - Sep 2021Tracxn
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Tracxn - Top Business Models - Semiconductors - Dec 2021Tracxn
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Digital and Innovation Strategies for the Infrastructure Industry: Tim McManu...Smart City
Productivity in the engineering and construction industry has been stagnant for decades. The proliferation of digital solutions has made it difficult for users to develop a coherent strategy. Companies who are able to successfully navigate the new digital landscape are on the brink of a transformation that will see top performers reduce overall project costs by 20-45%. However, digital transformations require developing digital capability across all aspects of the organization. Therefore, each entity involved in the industry must understand its critical challenges in order to guide its path to increased digital capability.
Tracxn - Top Business Models Report - Southeast Asia Tech - Sep 2021Tracxn
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Tracxn - Top Business Models - UK & Ireland Tech - Mar 2022Tracxn
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Tracxn - Top Business Models Report - Internet Of Things Industry Application...Tracxn
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Tracxn - Top Business Models - Big Data Industry Applications - Mar 2022Tracxn
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Tracxn - Top Business Models - Semiconductors - Sep 2021Tracxn
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Tracxn - Top Business Models - Robotics Industry Applications - Dec 2021Tracxn
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Tracxn - Top Business Models - Israel Tech - Mar 2022Tracxn
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Tracxn - Top Business Models Report - Europe Tech - Sep 2021Tracxn
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Tracxn - Top Business Models - Semiconductors - Dec 2021Tracxn
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Digital and Innovation Strategies for the Infrastructure Industry: Tim McManu...Smart City
Productivity in the engineering and construction industry has been stagnant for decades. The proliferation of digital solutions has made it difficult for users to develop a coherent strategy. Companies who are able to successfully navigate the new digital landscape are on the brink of a transformation that will see top performers reduce overall project costs by 20-45%. However, digital transformations require developing digital capability across all aspects of the organization. Therefore, each entity involved in the industry must understand its critical challenges in order to guide its path to increased digital capability.
Tracxn - Top Business Models Report - Southeast Asia Tech - Sep 2021Tracxn
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Tracxn - Top Business Models - UK & Ireland Tech - Mar 2022Tracxn
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Tracxn - Top Business Models Report - Internet Of Things Industry Application...Tracxn
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Tracxn Research - Industrial Robotics Landscape, February 2017Tracxn
A number of investments in 2016 were made by CVCs such as GE Ventures, Caterpillar, Medtronic, and Mitsubishi UFJ Capital, who envision robotic technology to be implemented in their area of expertise.
Tracxn Research - Chatbots Landscape, February 2017Tracxn
Deal volume and total dollars invested in the chatbots landscape rose by 108% and 129% respectively in 2016, with 192 chatbot startups setting up shop in 2016.
Tracxn Research - Insurance Tech Landscape, February 2017Tracxn
Round count hit an all-time sector peak in seed (81), early (72), and late stage (17), with late stage deal activity registering the most growth (46%).
Tracxn Research — IoT Infrastructure Landscape, December 2016Tracxn
Twenty acquisition deals reported in the sector. Cisco’s acquisition of Jasper Networks for $1.4B is one of the biggest buyouts in the sector till date.
Similar to Tracxn Research - Smart Cities Report, June 2017 (20)
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Tracxn - Southeast Asia Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in Sustainability Tech - 26 Oct 2023Tracxn
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Tracxn - United States Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in High Tech - 27 Oct 2023Tracxn
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Tracxn - Top Business Models in Vietnam Tech - 20 Oct 2023Tracxn
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Tracxn - Top Business Models in Singapore Tech - 19 Oct 2023Tracxn
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Tracxn - Top Business Models in New Zealand Tech - 19 Oct 2023Tracxn
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Tracxn - Top Business Models in United Kingdom Tech - 18 Oct 2023Tracxn
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Tracxn -Top Business Models in Transportation and Logistics Tech - 17 Oct 2023Tracxn
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Tracxn - United Kingdom Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in Sustainability Tech - 26 Oct 2023Tracxn
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Tracxn - United States Tech Monthly Funding ReportTracxn
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Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas