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Tech

Microsoft shareholders get their money’s worth after $60 billion buyback

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The big tech firm announces new repurchase program, following the promotion of president Brad Smith to vice chair.

Microsoft’s Brad Smith is the newly appointed Vice Chair

Microsoft is set to buy back $60 billion worth of shares under a new share repurchase program.

Each dividend will cost just over 60 cents per share, which is six cents more than the previous quarter.

The purpose of a buyback is to lower the number of outstanding shares on the market.

As a result, stakeholder ownership is increased and companies are able to reinvest in themselves.

There are a number of reasons behind why a company may buyback shares with Microsoft planning to raise their quarterly dividend by 11 percent.

Taking the top spot

The program comes after the tech giant appointed president Brad Smith as vice chair.

The company president who joined the tech firm in 1993, currently leads a team of over 1,500 staff across 54 countries.

According to his biography, Smith became general counsel for the company in 2002 and, over the next decade, handled the resolution of antitrust cases.

It’s unclear how long the buyback will last, with Microsoft saying they can choose to terminate the program at any time. 

Shares went up by 0.5 percent following the announcement.

Written by Rebecca Borg

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Australia’s workforce revolution sets the stage for a four-day work week

Australia’s AI Workforce Revolution: Automation Paves the Way for a Four-Day Work Week and New Job Redesigns.

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Australia’s AI workforce revolution: automation paves the way for a four-day work week.

In Short

UiPath’s report highlights the rapid shift towards “agentic automation,” where AI makes autonomous decisions, encouraging businesses to reassess roles and harness automation for productivity. This evolution may enable a four-day work week and necessitates the retraining of staff while ensuring regulations are in place for trust and compliance with AI integration.

The trend towards work reallocation is rapidly advancing, with UiPath’s new report identifying significant shifts in AI and automation.

Key insights from the report suggest a move towards “agentic automation,” where AI begins to make autonomous decisions. Yelena GalstianHead of Solutions and Customer Advisory at UiPath shares her key insights.

Organisations are encouraged to reassess existing roles and identify areas where automation can enhance productivity.

A critical aspect will be the orchestration of collaboration between human employees, AI agents, and software robots to ensure effective teamwork.

Looking ahead, the motto for businesses is to “redesign and reassign” processes while considering how AI can handle repetitive tasks, allowing human employees to focus on more complex responsibilities.

As organisations embrace these changes, we could see a potential transition to a four-day work week, made feasible through increased efficiency and productivity from AI.

For further insights into the research and methodologies for implementing AI in business, interested parties can connect with the UiPath team through their website.

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Data centres pushed to breaking point as AI demands surge

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The hidden cost of AI’s unstoppable growth

The rise of AI is pushing data centres to their limits, with increasing demands for high-resolution telemetry and greater power capacity. As AI applications grow more complex, managing these challenges efficiently has become a critical focus for industry leaders. The quest for smarter solutions is reshaping the infrastructure landscape. Luke Dalske, COO of Radix IoT, joins the program to discuss.

 

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AI’s role in transforming supply chains: Efficiency, forecasting, optimisation

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AI is transforming supply chains: enhancing efficiency, demand forecasting, delivery optimisation through advanced technologies.

Supply chain issues continue to challenge industries worldwide.

AI is increasingly seen as a solution to enhance efficiency and resilience within this sector.

To understand its impact, Jyot Singh, CEO of RTS Labs, joined to share his insights.

By utilising historical data, algorithms can predict future demand, facilitating better inventory management.

Additionally, advances in generative AI further enhance these forecasts by incorporating sentiment analysis and other factors.

AI also optimises delivery routes by analysing real-time data on traffic and weather conditions, thus reducing costs.

Companies, such as UPS, utilise technologies to streamline last-mile delivery, which is the most expensive portion of the supply chain.

AI’s role extends to improving vendor management and procurement efficiency through smart contracts and data-driven decision-making.

This helps businesses assess vendor reliability and make informed choices about allocating resources effectively.

Moreover, the digital twin technology allows businesses to simulate their supply chains virtually, testing various scenarios to identify potential disruptions.

American technological research and consulting firm Gartner predicts that by 2026, 60% of global supply chains will adopt digital twin applications, enhancing their ability to manage complex logistics.

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