David Menninger's Analyst Perspectives

FEBRUARY 13, 2024

We’ve been saying for years that natural language processing (NLP) and natural language analytics would greatly expand access to analytics. However, prior to the explosion of generative AI (GenAI), software providers had struggled to bring robust natural language capabilities to market. It required considerable manual effort. Many analytics providers had introduced natural language capabilities, but they didn’t really resonate with enterprise requirements.

Analytics 157

Analytics Software Marketing Enterprise 157

CIO Business Intelligence

FEBRUARY 14, 2024

Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away. Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with.

IT 143

IT Metadata Data-driven Management 143

KDnuggets

FEBRUARY 14, 2024

If you’ve ever had conversations with data professionals, you’ve probably heard “data lineage” pop up quite a few times. So what is data lineage all about, and why is it important?

IT 108

IT 108

IBM Big Data Hub

FEBRUARY 12, 2024

An evolution of customer experience (CX) was to be expected. Throughout modern history, organizations have encountered internal and external challenges that changed how they interact with customers and how customers view those organizations. Advancements in technology mean customers can order virtually any product and receive it in less than a week.

Data-driven 103

Data-driven Manufacturing Consulting Advertising 103

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Visualization

Analytics Vidhya

FEBRUARY 10, 2024

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? And why should one consider specializing in it? This blog post aims to answer these questions and more. Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya.

Data Science 319

Data Science Analytics IT Machine Learning 319

Smart Data Collective

FEBRUARY 13, 2024

While data analysis may have been reserved for huge corporations with large budgets in the past, today, it’s more accessible than ever before. Whether you’re a one-person operation or the leader of a growing small business, utilizing data analysis is a great way to improve efficiency, boost productivity, and scale to new heights.

Big Data 92

Big Data Data Analytics Analytics 92

Smarten

FEBRUARY 13, 2024

You have decided that your business can benefit from an analytics solution. Now, it is time to convince your executive team, your managers and your users. If you are to gain approval for your initiative, you must take the right approach. In this article, we discuss some of the primary factors you must consider to build and present your initiative to the various audiences within your organization.

Analytics 67

Analytics Cost-Benefit ROI Reporting 67

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts.

Strategy 56

Strategy Optimization Snapshot Metadata 56

Timo Elliott

FEBRUARY 15, 2024

I got a chance to try out the Apple Vision Pro at the SAP Paris office yesterday (a real honor, since it’s not going to be commercially available in France until much later this year). Many thanks to Jerome Conin , part of the SAP Mobile Experience team which is working to get the most out of this technology in work environments. SAP and Apple are close partners (we use a lot of Apple products and Apple uses SAP Business Technology Platform for innovation among other things) and so our dev

Enterprise 64

Enterprise Recreation/Entertainment Experimentation Technology 64

Analytics Vidhya

FEBRUARY 15, 2024

Microsoft, in collaboration with OpenAI, has revealed a concerning trend in the realm of cybersecurity: the utilization of generative artificial intelligence (GenAI) by hostile states for offensive cyber operations. Highlighting the involvement of countries such as Iran, North Korea, Russia, and China, Microsoft sheds light on the evolving landscape of cyber warfare.

Analytics 345

Analytics Modeling 345

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

CIO Business Intelligence

FEBRUARY 13, 2024

IT leaders are drowning in metrics, with many finding themselves up to their KPIs in a seemingly bottomless pool of measurement tools. The result is wasted time, confusion, and, in some cases, conflicting insights. There are several important metrics that can be used to achieve IT success, says Jonathan Nikols, senior vice president of global enterprise sales for the Americas at Verizon.

Metrics 139

Metrics IT ROI Measurement 139

KDnuggets

FEBRUARY 14, 2024

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data. Leveraging AI and semantic layers is advancing business intelligence, making it easier than ever for people to interact with data.

Business Intelligence 122

Business Intelligence Analytics Interactive Reporting 122

IBM Big Data Hub

FEBRUARY 13, 2024

Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

Analytics Vidhya

FEBRUARY 16, 2024

Google continues its stride in AI development with the introduction of Gemini 1.5, the latest iteration in its Gemini family of GenAI models. Following closely on the heels of Gemini 1.0, launched just a few months ago, this new model promises significant enhancements in performance, efficiency, and capabilities. Let’s delve deeper into what Gemini 1.5 […] The post Google Introduces Gemini 1.5: The Next Evolution in AI Models appeared first on Analytics Vidhya.

Modeling 300

Modeling Analytics IT Technology 300

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

CIO Business Intelligence

FEBRUARY 12, 2024

By Chet Kapoor, Chairman & CEO at DataStax Along with the exciting possibilities of generative AI (genAI), there have been concerns around job (in)security and displacement. Leaders are feeling the pressure to implement genAI quickly and automate as much as possible. Some will see this as an opportunity to “get lean” and reduce headcount. Others will keep the people they have and find new ways to become super efficient.

Machine Learning 140

Machine Learning Measurement Interactive Technology 140

KDnuggets

FEBRUARY 13, 2024

Stable Diffusion models are revolutionizing digital artistry, transforming mere text into stunning, lifelike images. Explore further here.

Modeling 127

Modeling 127

Ontotext

FEBRUARY 14, 2024

In the UK, there’s an old saying “Don’t wear your coat indoors, or you won’t feel the benefit when you go out”. In the same way, it’s good to know what you need to have in place to feel all the benefits knowledge graphs can bring. Based on our experience, we’ve found that there are some common stumbling blocks. Let’s have a look at those. Why You need to make sure the people in your organization know the why of the knowledge graph project.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Analytics Vidhya

FEBRUARY 10, 2024

Introduction Python stands out for its simplicity, versatility, and power in the realm of programming languages. The modulo operator (%) holds a special place among its myriad built-in operators, offering a convenient means to calculate remainders and perform cyclic operations. However, despite its apparent simplicity, mastering the modulo operator can be a stumbling block for […] The post Python Modulo Operator: Common Errors and How to Use appeared first on Analytics Vidhya.

Analytics 296

Analytics IT 296

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing

CIO Business Intelligence

FEBRUARY 16, 2024

SAP is reorganizing its AI activities. Philipp Herzig, formerly head of cross-product engineering and experience, now leads a new “end-to-end growth area” focused on AI as the company’s chief artificial intelligence officer (CAIO). Herzig now reports directly to CEO Christian Klein, and will oversee the entire value chain for SAP business AI from research and product development through to implementation at the customer.

Manufacturing 139

Manufacturing Software Sales Reporting 139

KDnuggets

FEBRUARY 16, 2024

Whether you are a beginner or an experienced user, this guide is perfect for familiarizing yourself with basic and advanced command line tools.

118

118

IBM Big Data Hub

FEBRUARY 16, 2024

A large, multinational automobile manufacturer responsible for producing millions of vehicles annually, engaged with IBM to streamline their manufacturing processes with seamless, automated inspections driven by real-time data and artificial intelligence (AI). As an automobile manufacturer, our client has an inherent duty to provide high-quality products.

Manufacturing 102

Manufacturing Visualization Data-driven Measurement 102

Analytics Vidhya

FEBRUARY 15, 2024

OpenAI has introduced Sora, an innovative AI model that can generate one-minute videos from simple text prompts. This advancement in AI technology sparks excitement and concerns simultaneously as it demonstrates remarkable capabilities in video generation. Sora’s Impressive Features OpenAI’s latest creation, Sora, stands out for its ability to produce minute-long videos with impressive realism solely […] The post OpenAI Unveils Sora: Text-to-Video AI Model for 1-Minute Videos a

Modeling 281

Modeling Technology Analytics IT 281

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

CIO Business Intelligence

FEBRUARY 15, 2024

Four years ago, German multinational Henkel found itself at a crossroads. Like many incumbents in the consumer packaged goods (CPG) industry, Henkel was slow to embrace digital technologies, resulting in a widening disconnect between the 147-year-old company and the changing needs of its customers. As Henkel CDIO Michael Nilles puts it, by 2019, Marc Andreessen’s pronouncement that “software is eating the world” had come true for the CPG sector, and Henkel was at risk of falling behind.

B2B 137

B2B Optimization Machine Learning Software 137

KDnuggets

FEBRUARY 12, 2024

You don't always have high-quality labeled datasets for supervised machine learning. Learn about why you should augment your real data with synthetic data as well as the ways to generate it.

Machine Learning 101

Machine Learning IT 101

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Furthermore, they are adopting security models that require access to the data lake through their private networks.

Data Lake 95

Data Lake Data Warehouse Testing Business Objectives 95

Analytics Vidhya

FEBRUARY 13, 2024

Andrej Karpathy, a founding member of OpenAI and a prominent figure in the field of artificial intelligence (AI) has left the company for good. His sudden departure has garnered attention across various social media platforms. His decision to leave the company has sparked discussions about his future endeavors and the impact on OpenAI’s ongoing projects. […] The post Andrej Karpathy Leaves OpenAI appeared first on Analytics Vidhya.

Analytics 278

Analytics 278

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

CIO Business Intelligence

FEBRUARY 16, 2024

“Innovate or die,” Peter Drucker’s 1985 exhortation on the importance of constant reinvention, was great business advice for the last 40 or so years. But things have gotten a little more complicated now, as the large-scale roll-out of generative artificial intelligence (GenAI) has introduced the need for a multidisciplinary approach to innovation. Today, it is not enough just to innovate within one’s own vertical; to truly exploit the power of GenAI to transform workflows and drive competitive a

Strategy 136

Strategy Insurance Digital Transformation Enterprise 136

KDnuggets

FEBRUARY 12, 2024

Interested in data engineering but don't know where to start? Get up to speed in data engineering fundamentals with this free course.

114

114

IBM Big Data Hub

FEBRUARY 16, 2024

In many organizations, but not all, customer service is treated as part of the customer experience. Both are interested in driving customer satisfaction, but they focus on different parts of the customer journey to achieve it. So what are the key differences in customer service vs. customer experience? And why do both matter for your business? Customer experience , or CX, is a holistic accounting of customers’ perceptions resulting from all their interactions with a business or brand, whet

Metrics 98

Metrics Interactive Consulting Sales 98

Analytics Vidhya

FEBRUARY 14, 2024

Introduction Investing in artificial intelligence (AI) stocks presents both exciting opportunities and unique challenges. AI technology has the capacity to revolutionize various sectors, attracting investors keen on capitalizing on its transformative potential. However, it’s crucial to recognize the associated risks and conduct thorough research before venturing into this dynamic market.

Risk 270

Risk Marketing Technology Analytics 270

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