Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Gerd Altmann from Pixabay Smart contracts are blockchain-based computer programs that activate at predefined times. In most cases, they are used to eliminate the need for a third party during the execution of a contract, allowing all parties to […].
CIO Business Intelligence
NOVEMBER 22, 2022
Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. As with just about everything in IT, a data strategy must evolve over time to keep pace with evolving technologies, customers, markets, business needs and practices, regulations, and a virtually endless number of other priorities.
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David Menninger's Analyst Perspectives
NOVEMBER 29, 2022
In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market. Yet, organizations face a multitude of challenges when transitioning into an analytics-driven enterprise.
Jen Stirrup
NOVEMBER 15, 2022
Information is pretty thin stuff, unless mixed with experience. – Clarence Day (1874–1935), American essayist. Why do organizations get stuck with their data? It is such a fundamental question. Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
KDnuggets
NOVEMBER 23, 2022
There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.
Smart Data Collective
NOVEMBER 2, 2022
Big data technology has changed the future of marketing in a multitude of ways. A growing number of organizations are leveraging big data to get higher ROIs from their organic and paid marketing campaigns. As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021. The Fintech sector is among those most reliant on data-driven marketing.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CIO Business Intelligence
NOVEMBER 21, 2022
The age-old debate on technology versus human capability remains inconclusive. But in this time of artificial intelligence (AI), analytics, and cloud, we’re seeing more opportunities to think of how humans and machines can come together as a team, rather than acting against each other. From diagnosing diseases and delivering effortless customer experiences to understanding human preferences and providing new customer insights, the human and AI partnership is evolving — and more in sync than ever
David Menninger's Analyst Perspectives
NOVEMBER 16, 2022
If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we also need to mind the gap between data and analytics. These worlds are often disconnected in organizations and, as a result, it limits their effectiveness and agility.
Timo Elliott
NOVEMBER 22, 2022
Simon Jarke is the Head of Corporate Digital Business Innovation at Freudenberg, a family-owned global technology group headquartered in Germany and founded in 1849. He recently explained how the organization has taken advantage of the latest technology advances to give business people more agility and control over their processes, without sacrificing standardization and efficiency: “I think the key to success, especially in times of digital transformation, lies in the philosophy and pract
KDnuggets
NOVEMBER 18, 2022
The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Smart Data Collective
NOVEMBER 20, 2022
Proper marketing and sales prospects play a huge role in improving the success rate of your business. The strategy can either be offline or digital. However, digital marketing has become the major focus of marketers across all industries, mainly due to how customers interact and engage with modern businesses. Seeing an opportunity and knowing how and when to take advantage of it defines the majority of where today’s marketers stand.
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. Before DevOps, software development teams, quality assurance (QA) teams, security, and operations would test the code for several […].
CIO Business Intelligence
NOVEMBER 22, 2022
Digital transformation initiatives have picked up in the retail sector in recent years as store chains compete for brand awareness and sales in a rapidly evolving market. By 2026, retailers’ global investments in digital transformation tools are expected to reach $388 billion , growing by 18% a year. That may sound like retail leaders are all in , ready to use new technology tools to extract maximum value out of their operations; ready to embrace change and grab the future by the horns.
David Menninger's Analyst Perspectives
NOVEMBER 22, 2022
In my previous perspectives on cloud computing, I addressed some of the realities of cloud costs as well as hybrid and multi-cloud architectures. In the midst of the pandemic, my colleague, Mark Smith, authored a series of perspectives on considerations for business continuity in general, beginning with this look at some of the investments organizations must make to mitigate the risk of business disruptions.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
DataRobot Blog
NOVEMBER 1, 2022
Can artificial intelligence predict outcomes of a football (soccer) game? In a special project created to celebrate the world’s biggest football tournament, the DataRobot team set out to determine the likelihood of a team scoring a goal based on various on-the-field events. My Dad is a big football (soccer) fan. When I was growing up, he would take his three daughters to the home games of Maccabi Haifa, the leading football team in the Israeli league.
KDnuggets
NOVEMBER 16, 2022
While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.
Smart Data Collective
NOVEMBER 20, 2022
Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face. One of the most significant benefits of leveraging analytics in manufacturing is with marketing optimization and automation.
Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Until recently, developing new, improved transformers specifically for a single modality was common practice. However, to tackle real-world tasks, there was a pressing need to develop multi-modal transformers models. Multi-modal transformers models are the type of models that employ the […].
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
CIO Business Intelligence
NOVEMBER 17, 2022
By Milan Shetti, CEO Rocket Software In today’s fast-paced digital business world, organizations have become highly adaptive and agile to keep up with the ever-evolving demands of consumers and the market. This has pushed many organizations to accelerate their digital transformation efforts in order to remain competitive and better serve their constituents — and there is no sign of slowing down.
Dataiku
NOVEMBER 15, 2022
It’s been four years since the last World Cup in 2018, when France won their second star on their crest. Even if you are not particularly interested in football, you might still find that World Cups are a fun moment where people share joy and excitement. I wanted to participate, but my knowledge would be limited to knowing Neymar and Kylian Mbappé's names.
Timo Elliott
NOVEMBER 26, 2022
The power of artificial intelligence is showing us what the prescriptive future of computer systems should look like. This Diffuse The Rest algorithm lets you scribble a picture, add a description, and it paints what you imagined. I’m just about to get on a plane to Dubai for a partner conference, so I quickly scribbled what I imagined my arrival might look like, and added a description.
KDnuggets
NOVEMBER 8, 2022
The post highlights three useful applications of using python to automate simple desktop tasks. Stay tuned till the end of the post to find the reference for a bonus resource.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Smart Data Collective
NOVEMBER 24, 2022
Artificial intelligence is playing an important role in modern creative professions. There are a lot of reasons a growing number of companies are turning to AI technology. One poll showed that 61% of companies found that AI and machine learning were their best data investments. One of the industries that is evolving by adopting new AI tools in web design.
Analytics Vidhya
NOVEMBER 17, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. However, there are many tasks for which we don’t have enough labeled data at our disposal. Moreover, the need for running deep learning models on […].
CIO Business Intelligence
NOVEMBER 14, 2022
Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another.
TDAN
NOVEMBER 1, 2022
Have you ever read those little pieces of paper inserted into your bank statement, credit card statements, insurance bills, mutual fund statement, and all of your other statements and bills? We all get them. You know, those flimsy pieces of paper, printed in small type and written in convoluted English. I have started collecting them— […].
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Paul Turley
NOVEMBER 23, 2022
Partitioning Large Tables Table partitioning has long been an important task in semantic model design using SQL Server Analysis Services. Since SSAS Tabular and Power BI models are built on top of the SSAS architecture, the pattern of partitioning remains the same as it has been for twenty years. However, the specific methods for implementation have been fine-tuned and improved.
KDnuggets
NOVEMBER 2, 2022
A data engineer is a fast-growing profession with amazing challenges and rewards. Which skills do you need to become a data engineer? In this post, we’ll take a look at both hard and soft skills.
Smart Data Collective
NOVEMBER 2, 2022
Artificial intelligence has upended the digital marketing profession. A growing number of marketers are using AI to optimize and automate marketing campaigns in fantastic ways. Jason Hall, Founder and CEO of FiveChannels described some of the phenomenal benefits of leveraging AI in digital marketing in a post in Forbes. Hall states that AI hasn’t removed the need for human input in marketing, but it has helped remove a lot of the monotonous tasks that humans used to participate in.
Analytics Vidhya
NOVEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine learning. K-means and hierarchical clustering are the two most popular and effective clustering algorithms. The working mechanism they apply in the backend allows them to provide such a […].
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