Oil Rebounds from 6-month-low

FILE PHOTO: A tanker truck used to haul oil products operates at an oil facility near Brooks, Alberta, Canada April 18, 2018. REUTERS/Todd Korol/File Photo
FILE PHOTO: A tanker truck used to haul oil products operates at an oil facility near Brooks, Alberta, Canada April 18, 2018. REUTERS/Todd Korol/File Photo
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Oil Rebounds from 6-month-low

FILE PHOTO: A tanker truck used to haul oil products operates at an oil facility near Brooks, Alberta, Canada April 18, 2018. REUTERS/Todd Korol/File Photo
FILE PHOTO: A tanker truck used to haul oil products operates at an oil facility near Brooks, Alberta, Canada April 18, 2018. REUTERS/Todd Korol/File Photo

Oil prices reclaimed some ground on Thursday after tumbling to a six-month low in the previous session but investors remained concerned about sluggish demand and economic slowdowns in the US and China.

Brent crude futures rose 27 cents, or 0.4%, to $74.56 a barrel by 0613 GMT. US West Texas Intermediate crude futures rose 24 cents, also 0.4%, to $69.62 a barrel.

"Oil markets may have been oversold," which could mean the recovery is a "short-term rebound", Tina Teng, a markets analyst with CMC Markets, said in a note.

In the previous session, the market was spooked by data showing US output remains near record highs even though inventories fell, analysts at ANZ said in a note.

Some of the bearishness was also a result of higher product fuel inventories, the ANZ analysts said.

Gasoline stocks rose by 5.4 million barrels in the week to 223.6 million barrels, the EIA said on Wednesday, far exceeding expectations for a 1 million-barrel build.

Oil prices have fallen by about 10% since the Organization of the Petroleum Exporting Countries and allies, together called OPEC+, announced a combined 2.2 million barrels per day voluntary output cuts.

A Reuters survey found that OPEC oil output fell in November in the first monthly drop since July, as a result of lower shipments by Nigeria and Iraq as well as ongoing market-supporting cuts by Saudi Arabia and other members of the wider OPEC+ alliance.



GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders
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GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

GAIN Summit in Riyadh to Showcase Global Experiences on AI Use in Supporting Business Leaders

The third edition of the Global AI (GAIN) Summit, organized by the Saudi Data and AI Authority (SDAIA) will be held in Riyadh on September 10-12.

The summit will showcase the global experiences in the field of artificial intelligence technologies, including those that focus on the importance of business leaders' understanding of rapidly developing AI technologies, and reflecting on how to increase production driven by strategic decision-making.

The deliberations of over 300 speakers, including experts, specialists, and decision-makers from 100 countries will present business leaders and those interested in the field of data and AI with promising options and opportunities to benefit from the technologies.

The speakers will deliberate on the most effective methods of utilizing AI to make strategic decisions, support responsible leadership, analyze the extent of the impact of AI on the growth of business activities and productivity, and motivate employees within an attractive work environment that meets the aspirations of business leaders.

The summit will underscore the importance of senior leaders and policymakers in making strategic decisions, determining the scope and directions of work, and achieving a competitive advantage for business. These decisions are guided by organizational policies, available resources, future plans, and other decisions based on AI.

According to a study by PricewaterhouseCoopers, productivity growth and improvement of manufacturing processes were five times faster when AI was used to adjust processes, identify shortcomings, and reduce waste and errors.

Predictive maintenance can also reduce downtime and speed up the pace of production, allowing the plant to increase production with the same or fewer inputs.