IBM Journey to AI blog

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. For more insights, keep reading. times higher ROI.

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phData

MAY 2, 2024

The cloud data platforms of today offer unprecedented adaptability and scalability, creating vast opportunities to leverage data for generating business value. It is the answer to getting everything you need from your data platform and nothing you don’t. What are the 3 Phases of FinOps?

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Data Science Dojo

AUGUST 22, 2023

Large language models, which are a prominent category of transformer models, have proven to be exceptionally versatile. These models significantly expand the purview of AI across industries and businesses, poised to usher in a new era of innovation, ingenuity, and efficiency.

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IBM Journey to AI blog

NOVEMBER 24, 2023

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. Duplicative capabilities across applications and channels give rise to duplicative IT resources (e.g.,

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phData

JANUARY 2, 2024

The financial data market is a booming industry currently estimated to be worth over $30 billion, with much of this growth being driven by the increasing demand for data-driven insights in the financial sector. As a result, financial institutions are sitting on a goldmine of valuable data that can be monetized.

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IBM Journey to AI blog

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

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IBM Journey to AI blog

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

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phData

AUGUST 18, 2023

Although the data industry is not new to AI-type features, AI’s accessibility and reach have increased dramatically. Sigma Computing recently joined the revolution in offering greater automation and insights to all users. Classify column is categorizing or organizing existing data into different buckets or definitions.

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IBM Journey to AI blog

NOVEMBER 8, 2023

The supply chain plays a pivotal role in delivering goods and services to both businesses and consumers, serving as the connective thread between industries, nations, communities and all components of the value chain. This process entails gathering new data, identifying existing challenges, and taking the necessary steps to ensure compliance.

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Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

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Pickl AI

AUGUST 1, 2023

The surge of digitization and its growing penetration across the industry spectrum has increased the relevance of text mining in Data Science. Text mining is primarily a technique in the field of Data Science that encompasses the extraction of meaningful insights and information from unstructured textual data.

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Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes.

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AWS Machine Learning Blog

MARCH 4, 2024

Vision capabilities – Claude 3 models have been trained to understand structured and unstructured data across different formats, not just language, but also images, charts, diagrams, and more. This lets businesses build generative AI applications integrating diverse multimedia sources and solving truly cross-domain problems.

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AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Iguazio

FEBRUARY 20, 2024

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. Risk, compliance, data privacy and escalating costs are just a few of the acute concerns that financial services companies are grappling with today. View the entire webinar here. See the entire list in the webinar.

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Pickl AI

JUNE 25, 2023

With the large volume of data that we’re creating, it has become integral for companies to harness this information accurately and use it in strategizing their policies. In this blog, we are going to unfold the role of business analytics with examples and its scope in the future. Digitization has massively impacted the world.

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Pickl AI

AUGUST 29, 2023

Data Scientists are highly in demand across different industries for making use of the large volumes of data for analysisng and interpretation and enabling effective decision making. One of the most effective programming languages used by Data Scientists is R, that helps them to conduct data analysis and make future predictions.

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IBM Journey to AI blog

JANUARY 11, 2024

Last year, companies around the world spent close to USD 219 billion on cybersecurity and security solutions, a 12% increase from the previous year according to the International Data Corporation (IDC) (link resides outside ibm.com.) Establishing your RTO and RPO are critical steps in your recovery process.

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AWS Machine Learning Blog

OCTOBER 19, 2023

From ecommerce platforms encouraging customers to share product images to social media companies promoting user-generated videos and images, using user content for engagement is a powerful strategy. Many companies currently depend on human moderators or respond reactively to user complaints to manage inappropriate user-generated content.

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Pickl AI

MARCH 18, 2024

Summary Demystify data with MIS report in Excel! Learn to collect, format, and analyze data using effective formulas and PivotTables. Visualize trends with charts and craft clear, informative reports to empower data-driven decision making within your organization. Apply color-coding strategically to differentiate data sets.

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Heartbeat

JANUARY 29, 2024

Imagine an AI system that becomes proficient in many tasks through extensive training on each specific problem and a higher-order learning process that distills valuable insights from previous learning endeavors. Meta-Learning takes a holistic approach by training models on diverse tasks and datasets based on data assumptions.

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AWS Machine Learning Blog

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Features such as normalizing key fields and summarizing input data support faster cycles for managing document process workflows, while reducing the potential for errors.

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Pickl AI

APRIL 28, 2023

With more than 650% growth since 2012, Data Science has emerged as one of the most sought-after technologies. With the new developments in this domain, Data Science presents a picture of futuristic technology. A Data Scientist’s average salary in India is up to₹ 8.0 Lakhs per annum or sometimes even more.

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections.

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AWS Machine Learning Blog

MAY 8, 2024

The telecommunications industry is more competitive than ever before. They focused on improving customer service using data with artificial intelligence (AI) and ML and saw positive results, with their Group AI Maturity increasing from 50% to 80%, according to the TM Forum’s AI Maturity Index.

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Heartbeat

NOVEMBER 22, 2023

Check out this free LLMOps course from industry expert Elvis Saravia of DAIR.AI! Other product categories and details) ''' This step allows you to enter the product list for your store. Create an engaging and culturally rich itinerary that balances art, history, and local culinary experiences for the solo traveler.

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Pickl AI

JULY 28, 2023

Numerous industries have undergone a revolution because of their quick improvements, which have also greatly improved automation and visual data analysis capabilities. Analyzing pixel data within an image and extracting pertinent characteristics are often carried out utilizing sophisticated algorithms and deep learning approaches.

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Heartbeat

SEPTEMBER 20, 2023

Image Segmentation Image segmentation algorithms play a crucial role in computer vision by dividing images into distinct regions based on visual characteristics and assigning each pixel to a specific class or object category. This process enables a more granular understanding of different regions and objects within the image.

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IBM Journey to AI blog

MARCH 26, 2024

To scale progress in combating climate change, this alignment and collaboration must happen across value chain partners, ecosystems, and industries. How aligned is the sustainability strategy to the business strategy? Sustainability and ESG: An opportunity for synergy Sustainability and ESG are not synonymous.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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Smart Data Collective

MAY 11, 2023

The good news is that big data technology is helping banks meet their bottom line. Therefore, it should be no surprise that the market for data analytics is growing at a rate of nearly 23% a year after being worth $744 billion in 2020. Big data can help companies in the financial sector in many ways.

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Cambridge Intelligence

JANUARY 30, 2024

While it has always been a data-intensive process, enterprise fraud management today is more complex and more important than ever. This blog post explores the evolving role of enterprise fraud management, examines the impact of AI and showcases the importance of visual data analysis. What is enterprise fraud management?

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AWS Machine Learning Blog

MAY 9, 2024

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses.

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AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed.

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Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Over the past few months, many others have started talking about some of the changes that we blogged about for years. There are numerous ways that machine learning technology is changing the financial industry.

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IBM Journey to AI blog

APRIL 11, 2024

The groundwork for effectively operationalizing governance is human-centered, and includes securing funded mandates, identifying accountable leaders, developing agency-wide AI literacy and centers of excellence and incorporating insights from academia, non-profits and private industry. The term governance can be slippery.

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Alation

OCTOBER 12, 2022

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. So what are the key differences, and what should data users know about them?

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