Our views on business technology trends
Low Code, No Code: A Marked Movement for Digital Platform Development
Businesses adopt low code, no code (LCNC) to accelerate innovation, escape legacy technologies, increase IT responsiveness, and enable citizen development.
AI-driven cyberattacks intensify. Cybersecurity professionals must grasp these threats and use AI for security defense.
The EU AI Act: An enterprise response strategy
A landmark piece of legislation in the EU will soon come into effect, setting the stage for further AI compliance obligations in future. Here we set out a strategy to comply with key provisions and ensure AI business benefit for the future.
2024 Global Semiconductor Market Outlook
The report details the market outlook of the semiconductor industry -- now fueled by artificial intelligence applications, vehicle electrification, autonomous driving, 5G networks, and internet of things.
Smart meter operations center for efficient AMI operations
Smart meter operations centers have transformed how utilities manage their advanced metering infrastructure with a unified data platform.
What are Australian Banks Doing on Tech and Talent
Australian banks are hiring tech talent at a rate much higher than the rest of the world.
Charging Station Configurator for Electric Vehicles
A configuration platform is a decision tool to assess multiple options and recommend the best possible configuration for electric vehicle charging stations.
IT priorities for banks in a fast-moving landscape
Banks and fintechs face new challenges as open banking and the rise of AI demand new thinking on how to spend IT budgets.
AI’s growth is exponential. But how can it also be sustainable?
Business leaders need to better understand how AI might make it harder to reach their sustainability goals and how to balance their competing demands.
Field to foundry to factory: The evolving role of cloud in enterprise AI
Cloud served as the initial testing field for generative AI, and now, cloud will be the place where companies shift from thousands of interesting ideas to forging a few practical uses for artificial intelligence.
How AI can help news publishers
News houses face low traffic and a grim outlook. They must embrace new AI technology to increase efficiency, retain customers, and uncover growth avenues.
Responsible AI for ethical excellence
With the increasing adoption of AI across all domains, companies must prioritize safe and ethical AI practices.
Scaling Generative AI: Strategies for Success
To scale generative AI and drive value, businesses should identify the ideal use case, develop a strong AI infrastructure, and get their people practices right.
What makes a winning AI-first business transformation
Companies should innovate to arrive at concrete business capabilities that can help them achieve quantifiable outcomes.
The poisoned well: Firms face the risk of deliberately compromised data
As creators worry about their work being scraped into generative AI’s datasets, they might plan deliberately destructive actions. Firms must evaluate the consequences and act accordingly.
Returns Management: Achieving the Point of No Returns
Retailers can reduce product returns and resulting losses through a combination of technology, employee training, and effective communication with customers.
The telco of the future: Generative AI as a force multiplier in product strategy
Telcos are using generative AI to craft new capabilities and build out their product strategy. However, failure is certain unless they take a long, hard look at their AI-first operating model.
An AI-first operating model: A new imperative for telcos
Generative AI is playing a decisive role in driving significant, disruptive advancements across the telco industry, with boardrooms rethinking what it means to be a telco in the first place.
Beauty and the Beast of Consumer Expectations
To continue to remain relevant, the beauty industry must find new ways and employ technologies including AI and AR to deliver superior customer experiences.
A new approach to explainable AI
As organizations look for business value in generative AI, the focus will sharpen on trust and ethics, driving new ways of thinking about and demonstrating explainability.
AI-powered innovation: Transform and thrive through creative intelligence
AI-first enterprises must develop strategic frameworks to identify experiences and processes that drive maximum benefit.
A multistrategy approach to minimize risks in legacy modernization
Business and technology experience varied outcomes from the same modernization journey. By pursuing a multimodal modernization strategy there is a larger chance to achieve success for both.
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