Achieving cloud excellence and efficiency with cloud maturity models
Good Tech IBM
by Keith O'Brien
6h ago
Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Concerns around security, governance and lack of resources and expertise also top the list of respondents’ concerns. Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and ..read more
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AI in commerce: Essential use cases for B2B and B2C
Good Tech IBM
by Shantha Farris
6h ago
Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security.  By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels.  Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad expe ..read more
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Enhancing data security and compliance in the XaaS Era 
Good Tech IBM
by Rishi Vaish
1d ago
Recent research from IDC found that 85% of CEOs who were surveyed cited digital capabilities as strategic differentiators that are crucial to accelerating revenue growth. However, IT decision makers remain concerned about the risks associated with their digital infrastructure and the impact they might have on business outcomes, with data breaches and security concerns being the biggest threats.   With the rapid growth of XaaS consumption models and the integration of AI and data at the forefront of every business plan, we believe that protecting data security is pivotal to success. I ..read more
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The power of remote engine execution for ETL/ELT data pipelines
Good Tech IBM
by Amin Abou-Gallala
2d ago
Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). However, businesses scaling AI face entry barriers. Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025, with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data s ..read more
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A clear path to value: Overcome challenges on your FinOps journey 
Good Tech IBM
by Dharma Atluri
2d ago
In recent years, cloud adoption services have accelerated, with companies increasingly moving from traditional on-premises hosting to public cloud solutions. However, the rise of hybrid and multi-cloud patterns has led to challenges in optimizing value and controlling cloud expenditure, resulting in a shift from capital to operational expenses.   According to a Gartner report, cloud operational expenses are expected to surpass traditional IT spending, reflecting the ongoing transformation in expenditure patterns by 2025. FinOps is an evolving cloud financial management discipline and ..read more
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Where to begin: 3 IBM leaders offer guidance to newly appointed chief AI officers
Good Tech IBM
by Christina Montgomery
3d ago
The number of chief artificial intelligence officers (CAIOs) has almost tripled in the last 5 years, according to LinkedIn. Companies across industries are realizing the need to integrate artificial intelligence (AI) into their core strategies from the top to avoid falling behind. These AI leaders are responsible for developing a blueprint for AI adoption and oversight both in companies and the federal government. Following a recent executive order by the Biden administration and a meteoric rise in AI adoption across sectors, the Office of Management and Budget (OMB) released a memo on how fed ..read more
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The CFO’s role in the age of generative AI
Good Tech IBM
by Monica Proothi
3d ago
CFOs are the stewards of investment capital, orchestrating a movement with transformative technology and innovation to evolve businesses, accelerate revenue streams and drive meaningful outcomes. The current business environment has CFOs facing headwinds for decision-making in less-than-ideal conditions with rapidly shifting regulations, tedious reporting standards, ESG requirements and inflationary pressures; however, the need for growth and profit expansion remains, and as CEOs look for ways to increase productivity, the CFO is emerging as a new advisor on technology and innovation. Despite ..read more
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Upskilling and reskilling for talent transformation in the era of AI
Good Tech IBM
by Keith O'Brien
4d ago
Artificial intelligence (AI) represents a once-in-a-lifetime change management opportunity that might decide who wins and losses across every industry. As the AI era takes shape through digital transformation initiatives, executives and employees alike are contemplating how it affects employment and the skills needed to stay ahead. This is where AI upskilling and reskilling come into play. How executives and employees view the era of AI An IBM Institute for Business Value report found that more than 60% of executives say that generative AI will disrupt how their organization designs customer a ..read more
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Scaling generative AI with flexible model choices
Good Tech IBM
by Armand Ruiz
4d ago
This blog series demystifies enterprise generative AI (gen AI) for business and technology leaders. It provides simple frameworks and guiding principles for your transformative artificial intelligence (AI) journey. In the previous blog, we discussed the differentiated approach by IBM to delivering enterprise-grade models. In this blog, we delve into why foundation model choices matter and how they empower businesses to scale gen AI with confidence. Why are model choices important? In the dynamic world of gen AI, one-size-fits-all approaches are inadequate. As businesses strive to harness the p ..read more
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FPGA vs. GPU: Which is better for deep learning?
Good Tech IBM
by Josh Schneider
1w ago
Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Beyond artificial intelligence (AI), deep learning drives many applications that improve automation, including everyday products and services like digital assistants, voice-enabled consumer electronics, credit card fraud detection and more. It is primarily used for tasks like speech recognition, image processing and complex decision-making, where it can “read” and process a large amount of data to ..read more
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