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.
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.
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.
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.
How to make banking tech investment count
Banks are increasing tech spend quarter on quarter despite a tough macroeconomic landscape.
Securing AI from adversarial attacks in the current landscape
With the attack surface of new AI models increasing, businesses must ensure their defences match the speed of AI deployment. Doing so will build trust in generative AI systems and enable implementation at scale.
A Sustainable Way Forward for the Telecom Industry
To meet its ambitious goals, the telecom industry needs to embrace a variety of strategies and tools, from renewable energy power purchase agreements to energy management platforms
AI and Retail: Everything Everywhere All at Once
To maximize the benefits of AI technology, businesses must consider where to use it, and how it can augment or accelerate human processes.
Generative AI for supply chain management
Supply chain management has been catching up in generative AI usage with significant potential in high priority areas.
What is Revenue Growth Management?
Ways in which businesses can use AI-driven tools, data, and analytics to increase organic revenue growth profitably.
Harnessing synthetic data for human-centric AI
Synthetic data is key as advanced AI proliferates and will overshadow real data use by 2030. A human-centric approach to synthetic data adoption can manage risk and spur innovation.
